diff --git a/.commitlint.rules.js b/.commitlint.rules.js
index 56cb1cf..ad25cd0 100644
--- a/.commitlint.rules.js
+++ b/.commitlint.rules.js
@@ -7,6 +7,7 @@ module.exports = {
       "always",
       [
         "catalog",
+        "cli",
         "core",
         "covariance",
         "io",
diff --git a/examples/heracles.cfg b/examples/heracles.cfg
new file mode 100644
index 0000000..75d321f
--- /dev/null
+++ b/examples/heracles.cfg
@@ -0,0 +1,72 @@
+# example config file for Heracles
+# values from [defaults] are applied to all sections
+
+[defaults]
+lmin = 10
+bins = 32 log 2l+1
+
+[spectra:clustering]
+include = D, D
+lmax = 2000
+l2max = 4000
+
+[spectra:shear]
+include =
+    G_E, G_E
+    G_B, G_B
+    G_E, G_B
+lmax = 3000
+l2max = 5000
+
+[spectra:ggl]
+include =
+    D, G_E
+    D, G_B
+lmax = 1000
+l2max = 2000
+
+[fields:D]
+type = positions
+columns =
+    SHE_RA
+    SHE_DEC
+mask = V
+nside = 2048
+lmax = 2000
+
+[fields:G]
+type = shears
+columns =
+    SHE_RA
+    SHE_DEC
+    SHE_E1_CAL
+    -SHE_E2_CAL
+    SHE_WEIGHT
+mask = W
+nside = 2048
+lmax = 3000
+
+[fields:V]
+type = visibility
+nside = 4096
+lmax = 6000
+
+[fields:W]
+type = weights
+columns =
+    SHE_RA
+    SHE_DEC
+    SHE_WEIGHT
+nside = 8192
+lmax = 8000
+
+[catalogs:fs2-dr1n-noia]
+source = catalog.fits
+selections =
+    0 = TOM_BIN_ID==0
+    1 = TOM_BIN_ID==1
+    2 = TOM_BIN_ID==2
+visibility =
+    0 = vmap.0.fits
+    1 = vmap.1.fits
+    2 = vmap.2.fits
diff --git a/heracles/__main__.py b/heracles/__main__.py
new file mode 100644
index 0000000..41bacb8
--- /dev/null
+++ b/heracles/__main__.py
@@ -0,0 +1,25 @@
+# Heracles: Euclid code for harmonic-space statistics on the sphere
+#
+# Copyright (C) 2023 Euclid Science Ground Segment
+#
+# This file is part of Heracles.
+#
+# Heracles is free software: you can redistribute it and/or modify it
+# under the terms of the GNU Lesser General Public License as published
+# by the Free Software Foundation, either version 3 of the License, or
+# (at your option) any later version.
+#
+# Heracles is distributed in the hope that it will be useful, but
+# WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
+# Lesser General Public License for more details.
+#
+# You should have received a copy of the GNU Lesser General Public
+# License along with Heracles. If not, see <https://www.gnu.org/licenses/>.
+"""Executable module."""
+
+import sys
+
+from .cli import main
+
+sys.exit(main())
diff --git a/heracles/cli.py b/heracles/cli.py
new file mode 100644
index 0000000..a884517
--- /dev/null
+++ b/heracles/cli.py
@@ -0,0 +1,880 @@
+# Heracles: Euclid code for harmonic-space statistics on the sphere
+#
+# Copyright (C) 2023 Euclid Science Ground Segment
+#
+# This file is part of Heracles.
+#
+# Heracles is free software: you can redistribute it and/or modify it
+# under the terms of the GNU Lesser General Public License as published
+# by the Free Software Foundation, either version 3 of the License, or
+# (at your option) any later version.
+#
+# Heracles is distributed in the hope that it will be useful, but
+# WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
+# Lesser General Public License for more details.
+#
+# You should have received a copy of the GNU Lesser General Public
+# License along with Heracles. If not, see <https://www.gnu.org/licenses/>.
+"""The Heracles command line interface."""
+
+from __future__ import annotations
+
+import argparse
+import configparser
+import logging
+import os
+from collections.abc import Iterable, Iterator, Mapping
+from typing import TYPE_CHECKING, Any, Callable, Union
+
+import numpy as np
+
+if TYPE_CHECKING:
+    from numpy.typing import NDArray
+
+# valid option keys
+FIELD_TYPES = {
+    "positions": "heracles.fields:Positions",
+    "shears": "heracles.fields:Shears",
+    "visibility": "heracles.fields:Visibility",
+    "weights": "heracles.fields:Weights",
+}
+
+
+def getlist(value: str) -> list[str]:
+    """Convert to list."""
+    return list(filter(None, map(str.strip, value.splitlines())))
+
+
+def getdict(value: str) -> dict[str, str]:
+    """Convert to dictionary."""
+    out = {}
+    for line in map(str.strip, value.splitlines()):
+        if not line:
+            continue
+        key, sep, val = line.partition("=")
+        if sep != "=":
+            msg = f"Invalid value: {line!r} (expected 'KEY = VALUE')"
+            raise ValueError(msg)
+        out[key.rstrip()] = val.lstrip()
+    return out
+
+
+def getchoice(value: str, choices: dict[str, Any]) -> Any:
+    """Get choice from a fixed set of option values."""
+    try:
+        return choices[value]
+    except KeyError:
+        expected = ", ".join(map(repr, choices))
+        msg = f"Invalid value: {value!r} (expected {expected})"
+        raise ValueError(msg) from None
+
+
+def getpath(value: str) -> str:
+    "Convert to path, expanding environment variables."
+    return os.path.expanduser(os.path.expandvars(value))
+
+
+def getfilter(value: str) -> list[tuple[Any, ...]]:
+    """Convert to list of include or exclude filters."""
+    filt = []
+    for row in getlist(value):
+        item = []
+        for part in map(str.strip, row.split(",")):
+            if part == "...":
+                item.append(...)
+            elif part.isdigit():
+                item.append(int(part))
+            else:
+                item.append(part)
+        filt.append(tuple(item))
+    return filt
+
+
+class ConfigParser(configparser.ConfigParser):
+    """ConfigParser with additional getters."""
+
+    _UNSET = configparser._UNSET
+
+    def __init__(self) -> None:
+        # fully specify parent class
+        super().__init__(
+            defaults={
+                "kernel": "healpix",
+            },
+            dict_type=dict,
+            allow_no_value=False,
+            delimiters=("=",),
+            comment_prefixes=("#",),
+            inline_comment_prefixes=("#",),
+            strict=True,
+            empty_lines_in_values=False,
+            default_section="defaults",
+            interpolation=None,
+            converters={
+                "list": getlist,
+                "dict": getdict,
+                "path": getpath,
+                "filter": getfilter,
+            },
+        )
+
+    def getchoice(
+        self,
+        section,
+        option,
+        choices,
+        *,
+        raw=False,
+        vars=None,  # noqa: A002
+        fallback=_UNSET,
+    ):
+        """Get choice from a fixed set of option values."""
+        try:
+            value = self.get(section, option, raw=False, vars=None)
+        except (configparser.NoSectionError, configparser.NoOptionError):
+            if fallback is not self._UNSET:
+                return fallback
+            raise
+        return getchoice(value, choices)
+
+    def sections(self, prefix: str | None = None) -> list[str]:
+        """
+        Return all the configuration section names.  If given, only
+        sections starting with *prefix* are returned.
+        """
+
+        sections = super().sections()
+        if prefix is not None:
+            sections = [s for s in sections if s.startswith(prefix)]
+        return sections
+
+    def subsections(self, group: str) -> dict[str, str]:
+        """
+        Return a mapping of subsections in *group*.
+        """
+        sections = self.sections(f"{group}:")
+        return {s.rpartition(":")[-1].strip(): s for s in sections}
+
+
+def field_from_config(config, section):
+    """Construct a field instance from config."""
+
+    from pkgutil import resolve_name
+
+    _type = config.getchoice(section, "type", FIELD_TYPES)
+    if isinstance(_type, str):
+        try:
+            cls = resolve_name(_type)
+        except (ValueError, ImportError, AttributeError) as exc:
+            value = config.get(section, "type")
+            msg = (
+                f"Internal error: field type {value!r} maps to type {_type!r}, "
+                f"which raised the following error: {exc!s}"
+            )
+            raise RuntimeError(msg) from None
+    else:
+        cls = _type
+    columns = config.getlist(section, "columns", fallback=())
+    mask = config.get(section, "mask", fallback=None)
+    return cls(*columns, mask=mask)
+
+
+def fields_from_config(config):
+    """Construct all field instances from config."""
+    sections = config.subsections("fields")
+    return {
+        name: field_from_config(config, section) for name, section in sections.items()
+    }
+
+
+def mappers_from_config(config):
+    """Construct all mapper instances from config."""
+    from .maps import mapper_from_dict
+
+    sections = config.subsections("fields")
+    return {
+        name: mapper_from_dict(config[section]) for name, section in sections.items()
+    }
+
+
+def catalog_from_config(config, section, label=None, *, out=None):
+    """Construct a catalogue instance from config."""
+
+    from .catalog import FitsCatalog
+    from .io import read_vmap
+
+    # TODO support non-FITS catalogue sources
+    source = config.getpath(section, "source")
+    # check if visibility is per catalogue or per selection
+    visibility: str | Mapping[str, str]
+    visibility = config.get(section, "visibility", fallback=None)
+    # check if visibility is a mapping
+    if visibility and "\n" in visibility:
+        visibility = config.getdict(section, "visibility")
+    selections = config.getdict(section, "selections")
+    # build the base catalogue
+    base_catalog = FitsCatalog(source)
+    base_catalog.label = label
+    # set base catalogue's visibility if just one was given
+    if isinstance(visibility, str):
+        try:
+            base_catalog.visibility = read_vmap(getpath(visibility))
+        except (TypeError, ValueError, OSError) as exc:
+            msg = f"Cannot load visibility: {exc!s}"
+            raise ValueError(msg)
+    # create a view of the base catalogue for each selection
+    # since `out` can be given, also keep track of selections added here
+    if out is None:
+        out = {}
+    added = set()
+    for key, where in selections.items():
+        # convert key to number and make sure it wasn't used before
+        num = int(key)
+        if out and num in out:
+            msg = f"Duplicate selection: {num}"
+            raise ValueError(msg)
+        # create view from selection string, if present
+        # otherwise, give the base catalog itself
+        if where:
+            catalog = base_catalog.where(where)
+        else:
+            catalog = base_catalog
+        # store the selection
+        out[num] = catalog
+        added.add(num)
+    # assign visibilities to individual selections if a mapping was given
+    # only allow visibilities for selections added here
+    if isinstance(visibility, Mapping):
+        for key, vmap in visibility.items():
+            num = int(key)
+            if num not in added:
+                msg = f"Invalid value: unknown selection '{num}'"
+                raise ValueError(msg)
+            try:
+                out[num].visibility = read_vmap(getpath(vmap))
+            except (TypeError, ValueError, OSError) as exc:
+                msg = f"Cannot load visibility: {exc!s}"
+                raise ValueError(msg)
+    # all done, return `out` unconditionally
+    return out
+
+
+def catalogs_from_config(config):
+    """Construct all catalog instances from config."""
+    sections = config.subsections("catalogs")
+    catalogs = {}
+    for label, section in sections.items():
+        catalog_from_config(config, section, label, out=catalogs)
+    return catalogs
+
+
+def lmax_from_config(config):
+    """Construct a dictionary with LMAX values for all fields."""
+    sections = config.subsections("fields")
+    return {name: config.getint(section, "lmax") for name, section in sections.items()}
+
+
+def bins_from_config(config, section):
+    """Construct angular bins from config."""
+
+    # dictionary of {spacing: (op, invop)}
+    spacings = {
+        "linear": (lambda x: x, lambda x: x),
+        "log": (np.log10, lambda x: 10**x),
+        "sqrt": (np.sqrt, np.square),
+        "log1p": (np.log1p, np.expm1),
+    }
+
+    # dictionary of known weights
+    weights = {
+        None,
+        "2l+1",
+        "l(l+1)",
+    }
+
+    bins = config.get(section, "bins", fallback="none")
+
+    if bins == "none":
+        return None, None
+
+    binopts = bins.split()
+
+    if not 2 <= len(binopts) <= 3:
+        msg = f"{section}: bins should be of the form '<size> <spacing> [<weights>]'"
+        raise ValueError(msg)
+
+    n = int(binopts[0])
+    s = binopts[1]
+    w = binopts[2] if len(binopts) > 2 else None
+
+    if n < 2:
+        msg = f"Invalid bin size '{n}' in section {section}"
+        raise ValueError(msg)
+    if s not in spacings:
+        msg = f"Invalid bin spacing '{s}' in section {section}"
+        raise ValueError(msg)
+    if w is not None and w not in weights:
+        msg = f"Invalid bin weights '{w}' in section {section}"
+        raise ValueError(msg)
+
+    lmin = config.getint(section, "lmin", fallback=1)
+    lmax = config.getint(section, "lmax")
+
+    op, inv = spacings[s]
+    arr = inv(np.linspace(op(lmin), op(lmax + 1), n + 1))
+    # fix first and last array element to be exact
+    arr[0], arr[-1] = lmin, lmax + 1
+
+    return arr, w
+
+
+def spectrum_from_config(config, section):
+    """Construct info dict for angular power spectra from config."""
+
+    options = config[section]
+
+    info = {}
+    if "lmax" in options:
+        info["lmax"] = options.getint("lmax")
+    if "l2max" in options:
+        info["l2max"] = options.getint("l2max")
+    if "l3max" in options:
+        info["l3max"] = options.getint("l3max")
+    if "include" in options:
+        info["include"] = options.getfilter("include")
+    if "exclude" in options:
+        info["exclude"] = options.getfilter("exclude")
+    if "debias" in options:
+        info["debias"] = options.getboolean("debias")
+    if "bins" in options:
+        info["bins"] = bins_from_config(config, section)
+
+    return info
+
+
+def spectra_from_config(config):
+    """Construct pairs of labels and *kwargs* for angular power spectra."""
+    sections = config.subsections("spectra")
+    spectra = []
+    for label, section in sections.items():
+        spectra += [(label, spectrum_from_config(config, section))]
+    if not spectra:
+        spectra += [(None, {})]
+    return spectra
+
+
+# the type of a single path
+Path = Union[str, os.PathLike]
+
+# the type of one or multiple paths
+Paths = Union[Path, Iterable[Path]]
+
+# the type of loader functions for load_xyz()
+ConfigLoader = Callable[[Paths], ConfigParser]
+
+
+def configloader(path: Paths) -> ConfigParser:
+    """Load a config file using configparser."""
+
+    if isinstance(path, (str, os.PathLike)):
+        path = (path,)
+
+    config = ConfigParser()
+    for p in path:
+        with open(p) as fp:
+            config.read_file(fp)
+    return config
+
+
+# this constant sets the default loader
+DEFAULT_LOADER = configloader
+
+
+def map_all_selections(
+    config: ConfigParser,
+    logger: logging.Logger,
+    progress: bool,
+) -> Iterator:
+    """Iteratively map the catalogues defined in config."""
+
+    from .maps import map_catalogs
+
+    # load catalogues, mappers, and fields to process
+    catalogs = catalogs_from_config(config)
+    mappers = mappers_from_config(config)
+    fields = fields_from_config(config)
+
+    logger.info("fields %s", ", ".join(map(repr, fields)))
+
+    # process each catalogue separately into maps
+    for key, catalog in catalogs.items():
+        logger.info(
+            "%s%s",
+            f"catalog {catalog.label!r}, " if catalog.label else "",
+            f"selection {key}",
+        )
+
+        # maps for single catalogue
+        yield map_catalogs(
+            mappers,
+            fields,
+            {key: catalog},
+            parallel=True,  # process everything at this level in one go
+            progress=progress,
+        )
+
+
+def load_all_maps(paths: Paths, logger: logging.Logger) -> Iterator:
+    """Iterate over MapFits from a path or list of paths."""
+
+    from .io import MapFits
+
+    # make iterable if single path is given
+    if isinstance(paths, (str, os.PathLike)):
+        paths = (paths,)
+
+    for path in paths:
+        logger.info("reading maps from %s", path)
+        yield MapFits(path, clobber=False)
+
+
+def maps(
+    path: Path,
+    *,
+    files: Paths,
+    logger: logging.Logger,
+    loader: ConfigLoader = DEFAULT_LOADER,
+    progress: bool,
+) -> None:
+    """compute maps"""
+
+    from .io import MapFits
+
+    # load the config file, this contains the maps definition
+    logger.info("reading configuration from %s", files)
+    config = loader(files)
+
+    # iterator over the individual maps
+    # this generates maps on the fly
+    itermaps = map_all_selections(config, logger, progress)
+
+    # output goes into a FITS-backed tocdict so we don't fill memory up
+    out = MapFits(path, clobber=True)
+
+    # iterate over maps, keeping only one in memory at a time
+    for maps in itermaps:
+        # write to disk
+        logger.info("writing maps to %s", path)
+        out.update(maps)
+        # forget maps before next turn to free some memory
+        del maps
+
+
+def alms(
+    path: Path,
+    *,
+    files: Paths | None,
+    maps: Paths | None,
+    healpix_datapath: Path | None = None,
+    logger: logging.Logger,
+    loader: ConfigLoader = DEFAULT_LOADER,
+    progress: bool,
+) -> None:
+    """compute spherical harmonic coefficients
+
+    Compute spherical harmonic coefficients (alms) from catalogues or
+    maps.  For catalogue input, the maps for each selection are created
+    in memory and discarded after its alms have been computed.
+
+    """
+
+    from .io import AlmFits
+    from .maps import Healpix, transform_maps
+
+    # load the config file, this contains alms setting and maps definition
+    logger.info("reading configuration from %s", files)
+    config = loader(files)
+
+    # set the HEALPix datapath
+    if healpix_datapath is not None:
+        Healpix.DATAPATH = healpix_datapath
+
+    # load the individual lmax values for each field into a dictionary
+    lmax = lmax_from_config(config)
+
+    # process either catalogues or maps
+    # everything is loaded via iterators to keep memory use low
+    itermaps: Iterator
+    if maps:
+        itermaps = load_all_maps(maps, logger)
+    else:
+        itermaps = map_all_selections(config, logger, progress)
+
+    # output goes into a FITS-backed tocdict so we don't fill up memory
+    logger.info("writing alms to %s", path)
+    out = AlmFits(path, clobber=True)
+
+    # iterate over maps and transform each
+    for maps in itermaps:
+        logger.info("transforming %d maps", len(maps))
+        transform_maps(
+            maps,
+            lmax=lmax,
+            progress=progress,
+            out=out,
+        )
+        del maps
+
+
+def chained_alms(alms: Paths | None) -> Mapping[Any, NDArray] | None:
+    """Return a ChainMap of AlmFits from all input alms, or None."""
+    from collections import ChainMap
+
+    from .io import AlmFits
+
+    if alms is None:
+        return None
+    return ChainMap(*(AlmFits(alm) for alm in reversed(alms)))
+
+
+def spectra(
+    path: Path,
+    *,
+    files: Paths,
+    alms: Paths,
+    alms2: Paths | None,
+    logger: logging.Logger,
+    loader: ConfigLoader = DEFAULT_LOADER,
+    progress: bool,
+) -> None:
+    """compute angular power spectra"""
+
+    from .io import ClsFits
+    from .twopoint import angular_power_spectra
+
+    # load the config file, this contains angular binning settings
+    logger.info("reading configuration from %s", files)
+    config = loader(files)
+
+    # collect angular power spectra settings from config
+    spectra = spectra_from_config(config)
+
+    # link all alms together
+    all_alms, all_alms2 = chained_alms(alms), chained_alms(alms2)
+
+    # create an empty cls file, then fill it iteratively with alm combinations
+    out = ClsFits(path, clobber=True)
+
+    total = 0
+    logger.info("using %d set(s) of alms", len(all_alms))
+    if all_alms2 is not None:
+        logger.info("using %d set(s) of cross-alms", len(all_alms2))
+    for label, info in spectra:
+        logger.info(
+            "computing %s spectra",
+            repr(label) if label is not None else "all",
+        )
+        # angular binning
+        if info.get("bins") is not None:
+            bins, weights = info["bins"]
+        else:
+            bins, weights = None, None
+        # compute spectra
+        angular_power_spectra(
+            all_alms,
+            all_alms2,
+            lmax=info.get("lmax"),
+            debias=info.get("debias", True),
+            bins=bins,
+            weights=weights,
+            include=info.get("include"),
+            exclude=info.get("exclude"),
+            out=out,
+        )
+        logger.info("-> added %d spectra, total is now %d", len(out) - total, len(out))
+        total = len(out)
+    logger.info("finished computing %d spectra", total)
+
+
+def mixmats(
+    path: Path,
+    *,
+    files: Paths,
+    alms: Paths,
+    alms2: Paths | None,
+    logger: logging.Logger,
+    loader: ConfigLoader = DEFAULT_LOADER,
+    progress: bool,
+) -> None:
+    """compute mixing matrices"""
+
+    from .fields import get_masks
+    from .io import MmsFits
+    from .twopoint import angular_power_spectra, mixing_matrices
+
+    # load the config file, this contains angular binning settings
+    logger.info("reading configuration from %s", files)
+    config = loader(files)
+
+    # collect the defined fields from config
+    fields = fields_from_config(config)
+
+    # collect angular power spectra settings from config
+    spectra = spectra_from_config(config)
+
+    # link all alms together
+    all_alms, all_alms2 = chained_alms(alms), chained_alms(alms2)
+
+    # create an empty mms file, then fill it iteratively
+    out = MmsFits(path, clobber=True)
+
+    total = 0
+    logger.info("using %d set(s) of alms", len(all_alms))
+    if all_alms2 is not None:
+        logger.info("using %d set(s) of cross-alms", len(all_alms2))
+    for label, info in spectra:
+        # get mask combinations for fields included in these spectra
+        include, exclude = info.get("include"), info.get("exclude")
+        include_masks = get_masks(
+            fields,
+            comb=2,
+            include=include,
+            exclude=exclude,
+            append_eb=True,
+        )
+        if not include_masks:
+            logger.info(
+                "missing masks for %s spectra, skipping...",
+                repr(label) if label is not None else "all",
+            )
+            continue
+        logger.info(
+            "computing %s mask spectra for %s",
+            repr(label) if label is not None else "all",
+            ", ".join(map(str, include_masks)),
+        )
+        # determine the various lmax values
+        lmax, l2max, l3max = info.get("lmax"), info.get("l2max"), info.get("l3max")
+        # angular binning, to be applied to rows of mixing matrices
+        if info.get("bins") is not None:
+            bins, weights = info["bins"]
+        else:
+            bins, weights = None, None
+        # compute spectra of masks
+        mask_cls = angular_power_spectra(
+            all_alms,
+            all_alms2,
+            lmax=l3max,
+            debias=info.get("debias", True),
+            include=include_masks,
+        )
+        # now compute the mixing matrices from these spectra
+        logger.info(
+            "computing %s mixing matrices from %d spectra",
+            repr(label) if label is not None else "all",
+            len(mask_cls),
+        )
+        mixing_matrices(
+            fields,
+            mask_cls,
+            l1max=lmax,
+            l2max=l2max,
+            l3max=l3max,
+            bins=bins,
+            weights=weights,
+            progress=progress,
+            out=out,
+        )
+        logger.info("-> added %d mixmats, total is now %d", len(out) - total, len(out))
+        total = len(out)
+        del mask_cls
+    logger.info("finished computing %d mixing matrices", total)
+
+
+class MainFormatter(argparse.RawDescriptionHelpFormatter):
+    """Formatter that keeps order of arguments for usage."""
+
+    def add_usage(self, usage, actions, groups, prefix=None):
+        self.actions = actions
+        super().add_usage(usage, actions, groups, prefix)
+
+    def _format_actions_usage(self, actions, groups):
+        return super()._format_actions_usage(self.actions, groups)
+
+
+def main():
+    """Main method of the `heracles` command.
+
+    Parses arguments and calls the appropriate subcommand.
+
+    """
+
+    def add_command(func):
+        """Create a subparser for a command given by a function."""
+
+        name = func.__name__
+        doc = func.__doc__.strip()
+        help_, _, description = doc.partition("\n")
+
+        parser = commands.add_parser(
+            name,
+            help=help_,
+            description=description,
+            parents=[cmd_parser],
+            formatter_class=MainFormatter,
+        )
+        parser.set_defaults(cmd=func)
+        return parser
+
+    # common parser for all subcommands
+    cmd_parser = argparse.ArgumentParser(
+        add_help=False,
+    )
+    cmd_parser.add_argument(
+        "-c",
+        "--config",
+        default="heracles.cfg",
+        help="configuration file (can be repeated)",
+        metavar="<config>",
+        action="append",
+        dest="files",
+    )
+    cmd_parser.add_argument(
+        "--no-progress",
+        help="do not show progress bars",
+        action="store_false",
+        dest="progress",
+    )
+
+    # main parser for CLI invokation
+    main_parser = argparse.ArgumentParser(
+        prog="heracles",
+        epilog="Made in the Euclid Science Ground Segment",
+        formatter_class=MainFormatter,
+    )
+    main_parser.set_defaults(cmd=None)
+
+    commands = main_parser.add_subparsers(
+        title="commands",
+        metavar="<command>",
+        help="the processing step to carry out",
+    )
+
+    ########
+    # maps #
+    ########
+
+    parser = add_command(maps)
+    group = parser.add_argument_group("output")
+    group.add_argument(
+        "path",
+        help="output FITS file for maps",
+        metavar="<maps>",
+    )
+
+    ########
+    # alms #
+    ########
+
+    parser = add_command(alms)
+    parser.add_argument(
+        "--healpix-datapath",
+        help="path to HEALPix data files",
+        metavar="<path>",
+    )
+    group = parser.add_argument_group("output")
+    group.add_argument(
+        "path",
+        help="output FITS file for alms",
+        metavar="<alms>",
+    )
+    group = parser.add_argument_group("inputs")
+    group.add_argument(
+        "maps",
+        nargs="*",
+        default=None,
+        help="input FITS file(s) for maps",
+        metavar="<maps>",
+    )
+
+    ###########
+    # spectra #
+    ###########
+
+    parser = add_command(spectra)
+    group = parser.add_argument_group("output")
+    group.add_argument(
+        "path",
+        help="output FITS file for spectra",
+        metavar="<spectra>",
+    )
+    group = parser.add_argument_group("inputs")
+    group.add_argument(
+        "alms",
+        nargs="+",
+        help="input FITS file(s) for alms",
+        metavar="<alms>",
+    )
+    group.add_argument(
+        "-X",
+        nargs="+",
+        help="input FITS file(s) for cross-spectra",
+        metavar="<alms>",
+        dest="alms2",
+    )
+
+    ###########
+    # mixmats #
+    ###########
+
+    parser = add_command(mixmats)
+    group = parser.add_argument_group("output")
+    group.add_argument(
+        "path",
+        help="output FITS file for mixing matrices",
+        metavar="<mixmats>",
+    )
+    group = parser.add_argument_group("inputs")
+    group.add_argument(
+        "alms",
+        nargs="+",
+        help="input FITS file(s) for alms",
+        metavar="<alms>",
+    )
+    group.add_argument(
+        "-X",
+        nargs="+",
+        help="input FITS file(s) for cross-spectra",
+        metavar="<alms>",
+        dest="alms2",
+    )
+
+    #######
+    # run #
+    #######
+
+    args = main_parser.parse_args()
+
+    # show full help if no command is given
+    if args.cmd is None:
+        main_parser.print_help()
+        return 1
+
+    # get keyword args
+    kwargs = vars(args)
+    cmd = kwargs.pop("cmd")
+
+    # set up logger for CLI output
+    logger = logging.getLogger(__name__)
+    logger.addHandler(logging.StreamHandler())
+    logger.setLevel(logging.DEBUG)
+
+    try:
+        cmd(**kwargs, logger=logger)
+    except Exception as exc:  # noqa: BLE001
+        logger.debug("Exception", exc_info=exc)
+        logger.error(f"ERROR: {exc!s}")
+        return 1
+    else:
+        return 0
diff --git a/heracles/maps/_mapping.py b/heracles/maps/_mapping.py
index fe1136f..e003dc3 100644
--- a/heracles/maps/_mapping.py
+++ b/heracles/maps/_mapping.py
@@ -129,7 +129,12 @@ def map_catalogs(
                     coros.append(coro)
 
             # run all coroutines concurrently
-            results = coroutines.run(coroutines.gather(*coros))
+            try:
+                results = coroutines.run(coroutines.gather(*coros))
+            finally:
+                # force-close coroutines to prevent "never awaited" warnings
+                for coro in coros:
+                    coro.close()
 
             # store results
             for key, value in zip(keys, results):
diff --git a/pyproject.toml b/pyproject.toml
index f29b6f5..3d7fca9 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -47,9 +47,14 @@ optional-dependencies = {all = [
 ]}
 readme = "README.md"
 requires-python = ">=3.9"
-urls.Documentation = "https://heracles.readthedocs.io/"
-urls.Homepage = "https://github.com/heracles-ec/heracles"
-urls.Issues = "https://github.com/heracles-ec/heracles/issues"
+
+[project.scripts]
+heracles = "heracles.cli:main"
+
+[project.urls]
+Documentation = "https://heracles.readthedocs.io/"
+Homepage = "https://github.com/heracles-ec/heracles"
+Issues = "https://github.com/heracles-ec/heracles/issues"
 
 [tool.black]
 force-exclude = """
diff --git a/tests/test_cli.py b/tests/test_cli.py
new file mode 100644
index 0000000..0a3d1de
--- /dev/null
+++ b/tests/test_cli.py
@@ -0,0 +1,393 @@
+from unittest.mock import patch
+
+import numpy as np
+import numpy.testing as npt
+import pytest
+
+
+def test_getlist():
+    from heracles.cli import getlist
+
+    assert (
+        getlist(
+            """
+                x
+                y
+                z
+            """,
+        )
+        == ["x", "y", "z"]
+    )
+    assert getlist("xyz") == ["xyz"]
+
+
+def test_getdict():
+    from heracles.cli import getdict
+
+    assert (
+        getdict(
+            """
+                x=1
+                y = 2
+                z= 3
+            """,
+        )
+        == {"x": "1", "y": "2", "z": "3"}
+    )
+
+    with pytest.raises(ValueError, match="Invalid value"):
+        getdict(
+            """
+                1
+                2
+                3
+            """,
+        )
+
+
+def test_getchoice():
+    from heracles.cli import getchoice
+
+    choices = {
+        "first": 1,
+        "second": 2,
+    }
+
+    assert getchoice("first", choices) == 1
+    with pytest.raises(ValueError, match="Invalid value"):
+        getchoice("third", choices)
+
+
+@patch.dict("os.environ", {"HOME": "/home/user", "TEST": "folder"})
+def test_getpath():
+    from heracles.cli import getpath
+
+    assert getpath("~/${TEST}/file.txt") == "/home/user/folder/file.txt"
+
+
+def test_getfilter():
+    from heracles.cli import getfilter
+
+    assert getfilter("a") == [("a",)]
+    assert getfilter("a, ..., 1, 2") == [("a", ..., 1, 2)]
+    assert (
+        getfilter(
+            """
+                a, 1
+                b, 2
+            """,
+        )
+        == [("a", 1), ("b", 2)]
+    )
+
+
+def test_subsections():
+    from heracles.cli import ConfigParser
+
+    config = ConfigParser()
+    config.read_dict(
+        {
+            "getme:a": {},
+            "getme: b ": {},
+            "getmenot:c": {},
+        },
+    )
+
+    assert config.subsections("getme") == {"a": "getme:a", "b": "getme: b "}
+
+
+def test_field_from_config():
+    from unittest.mock import Mock
+
+    from heracles.cli import ConfigParser, field_from_config
+
+    mock, other_mock = Mock(), Mock()
+
+    mock_field_types = {
+        "test": mock,
+        "other_test": other_mock,
+        "error": "<invalid>",
+    }
+
+    config = ConfigParser()
+    config.read_dict(
+        {
+            "a": {
+                "type": "test",
+                "columns": """
+                    COL1
+                    -COL2
+                """,
+                "mask": "x",
+            },
+            "b": {
+                "type": "other_test",
+            },
+            "c": {
+                "type": "error",
+            },
+        },
+    )
+
+    with patch.dict("heracles.cli.FIELD_TYPES", mock_field_types):
+        a = field_from_config(config, "a")
+        b = field_from_config(config, "b")
+        with pytest.raises(RuntimeError, match="Internal error"):
+            field_from_config(config, "c")
+
+    mock.assert_called_once_with("COL1", "-COL2", mask="x")
+    assert mock.return_value is a
+    other_mock.assert_called_once_with(mask=None)
+    assert other_mock.return_value is b
+
+
+@patch("heracles.cli.field_from_config")
+def test_fields_from_config(mock):
+    from heracles.cli import ConfigParser, fields_from_config
+
+    config = ConfigParser()
+    config.read_dict(
+        {
+            "fields:a": {},
+            "fields:b": {},
+            "fields:c": {},
+        },
+    )
+
+    m = fields_from_config(config)
+
+    assert m == {
+        "a": mock.return_value,
+        "b": mock.return_value,
+        "c": mock.return_value,
+    }
+    assert mock.call_args_list == [
+        ((config, "fields:a"),),
+        ((config, "fields:b"),),
+        ((config, "fields:c"),),
+    ]
+
+
+@patch("heracles.maps.mapper_from_dict")
+def test_mappers_from_config(mock):
+    from heracles.cli import ConfigParser, mappers_from_config
+
+    config = ConfigParser()
+    config.read_dict(
+        {
+            "fields:a": {},
+            "fields:b": {},
+            "fields:c": {},
+        },
+    )
+
+    m = mappers_from_config(config)
+
+    assert m == {
+        "a": mock.return_value,
+        "b": mock.return_value,
+        "c": mock.return_value,
+    }
+    assert mock.call_args_list == [
+        ((config["fields:a"],),),
+        ((config["fields:b"],),),
+        ((config["fields:c"],),),
+    ]
+
+
+@patch("heracles.io.read_vmap")
+def test_catalog_from_config(mock):
+    from heracles.cli import ConfigParser, catalog_from_config
+
+    # single visibility
+
+    config = ConfigParser()
+    config.read_dict(
+        {
+            "test_with_single_visibility": {
+                "source": "catalog.fits",
+                "selections": """
+                    0 = TOM_BIN_ID==0
+                    1 = TOM_BIN_ID==1
+                    2 = TOM_BIN_ID==2
+                """,
+                "visibility": "vmap.fits",
+            },
+            "test_with_many_visibilities": {
+                "source": "catalog.fits",
+                "selections": """
+                    0 = TOM_BIN_ID==0
+                    1 = TOM_BIN_ID==1
+                    2 = TOM_BIN_ID==2
+                """,
+                "visibility": """
+                    0 = vmap.0.fits
+                    2 = vmap.2.fits
+                """,
+            },
+        },
+    )
+
+    catalog = catalog_from_config(config, "test_with_single_visibility", "label 1")
+
+    assert catalog.keys() == {0, 1, 2}
+    assert catalog[0].base.__class__.__name__ == "FitsCatalog"
+    assert catalog[0].base.path == "catalog.fits"
+    assert catalog[0].base.visibility is mock.return_value
+    assert catalog[0].base.label == "label 1"
+    assert catalog[1].base is catalog[0].base
+    assert catalog[2].base is catalog[0].base
+    assert catalog[0].label is catalog[0].base.label
+    assert catalog[1].label is catalog[0].base.label
+    assert catalog[2].label is catalog[0].base.label
+    assert catalog[0].selection == "TOM_BIN_ID==0"
+    assert catalog[1].selection == "TOM_BIN_ID==1"
+    assert catalog[2].selection == "TOM_BIN_ID==2"
+    assert catalog[0].visibility is catalog[0].base.visibility
+    assert catalog[1].visibility is catalog[0].base.visibility
+    assert catalog[2].visibility is catalog[0].base.visibility
+    assert mock.call_args_list == [(("vmap.fits",),)]
+
+    mock.reset_mock()
+
+    catalog = catalog_from_config(config, "test_with_many_visibilities", "label 2")
+
+    assert catalog.keys() == {0, 1, 2}
+    assert catalog[0].base.__class__.__name__ == "FitsCatalog"
+    assert catalog[0].base.path == "catalog.fits"
+    assert catalog[0].base.visibility is None
+    assert catalog[0].base.label == "label 2"
+    assert catalog[1].base is catalog[0].base
+    assert catalog[2].base is catalog[0].base
+    assert catalog[0].label is catalog[0].base.label
+    assert catalog[1].label is catalog[0].base.label
+    assert catalog[2].label is catalog[0].base.label
+    assert catalog[0].selection == "TOM_BIN_ID==0"
+    assert catalog[1].selection == "TOM_BIN_ID==1"
+    assert catalog[2].selection == "TOM_BIN_ID==2"
+    assert catalog[0].visibility is mock.return_value
+    assert catalog[1].visibility is None
+    assert catalog[2].visibility is mock.return_value
+    assert mock.call_args_list == [
+        (("vmap.0.fits",),),
+        (("vmap.2.fits",),),
+    ]
+
+    with pytest.raises(ValueError, match="Duplicate selection"):
+        catalog_from_config(config, "test_with_single_visibility", out=catalog)
+
+
+@patch("heracles.cli.catalog_from_config")
+def test_catalogs_from_config(mock):
+    from heracles.cli import ConfigParser, catalogs_from_config
+
+    config = ConfigParser()
+    config.read_dict(
+        {
+            "catalogs:a": {},
+            "catalogs:b": {},
+            "catalogs:c": {},
+        },
+    )
+
+    c = catalogs_from_config(config)
+
+    assert mock.call_args_list == [
+        ((config, "catalogs:a", "a"), {"out": c}),
+        ((config, "catalogs:b", "b"), {"out": c}),
+        ((config, "catalogs:c", "c"), {"out": c}),
+    ]
+
+
+def test_lmax_from_config():
+    from heracles.cli import ConfigParser, lmax_from_config
+
+    config = ConfigParser()
+    config.read_dict(
+        {
+            "defaults": {"lmax": 30},
+            "fields:a": {"lmax": 10},
+            "fields:b": {"lmax": 20},
+            "fields:c": {},  # should use defaults
+        },
+    )
+
+    assert lmax_from_config(config) == {"a": 10, "b": 20, "c": 30}
+
+
+def test_bins_from_config():
+    from heracles.cli import ConfigParser, bins_from_config
+
+    config = ConfigParser()
+    config.read_dict(
+        {
+            "linear_bins": {
+                "lmin": "0",
+                "lmax": "4",
+                "bins": "5 linear",
+            },
+            "log_bins": {
+                "lmin": "1",
+                "lmax": "999_999",
+                "bins": "6 log",
+            },
+            "sqrt_bins": {
+                "lmin": "1",
+                "lmax": "35",
+                "bins": "5 sqrt",
+            },
+            "log1p_bins": {
+                "lmin": "0",
+                "lmax": "9",
+                "bins": "5 log1p",
+            },
+        },
+    )
+
+    npt.assert_array_equal(
+        bins_from_config(config, "linear_bins")[0],
+        [0, 1, 2, 3, 4, 5],
+    )
+
+    npt.assert_array_equal(
+        bins_from_config(config, "log_bins")[0],
+        [1, 10, 100, 1000, 10000, 100000, 1000000],
+    )
+
+    npt.assert_array_equal(
+        bins_from_config(config, "sqrt_bins")[0],
+        [1, 4, 9, 16, 25, 36],
+    )
+
+    npt.assert_allclose(
+        bins_from_config(config, "log1p_bins")[0],
+        np.expm1(np.linspace(np.log1p(0), np.log1p(10), 6)),
+    )
+
+
+@patch("heracles.cli.bins_from_config")
+def test_spectrum_from_config(mock):
+    from heracles.cli import ConfigParser, spectrum_from_config
+
+    config = ConfigParser()
+    config.read_dict(
+        {
+            "a": {
+                "lmax": 10,
+                "l2max": 12,
+                "l3max": 20,
+                "include": "x",
+                "exclude": "y",
+                "bins": "...",
+            },
+        },
+    )
+
+    assert spectrum_from_config(config, "a") == {
+        "lmax": 10,
+        "l2max": 12,
+        "l3max": 20,
+        "include": [("x",)],
+        "exclude": [("y",)],
+        "bins": mock.return_value,
+    }