A command-line tool and Python library to query download statistics for conda packages from the Anaconda public dataset.
Features
Query overall download counts for any conda package
Filter by time period (specific month or date range)
Group statistics by platform, Python version, package version, or data source
Support for multiple packages in a single query
Works with historical data from 2017 onwards
Installation
Using conda / mamba / pixi (recommended):
conda install -c conda-forge condastats # or mamba install -c conda-forge condastats # or pixi add condastats # or, to install as a global tool pixi global install condastats
Using pip / uv / pipx:
pip install condastats # or uv pip install condastats # or, run without installing uvx condastats overall pandas --month 2024-01 pipx run condastats overall pandas --month 2024-01 # or, install as a global tool pipx install condastats
Usage
Command Line
Get overall download counts for a package:
condastats overall pandas --month 2024-01
Get downloads grouped by platform:
condastats pkg_platform numpy --month 2024-01
Get downloads grouped by data source (anaconda vs conda-forge):
condastats data_source scipy --month 2024-01
Query multiple packages:
condastats overall pandas numpy dask --month 2024-01
Python API
from condastats import overall, pkg_platform, data_source
# Get total downloads for pandas in January 2024
downloads = overall("pandas", month="2024-01")
print(downloads)
# Get downloads by platform
by_platform = pkg_platform("pandas", month="2024-01")
print(by_platform)
# Get downloads over a date range
downloads = overall("numpy", start_month="2024-01", end_month="2024-06")
print(downloads)Documentation
Full documentation is available at https://condastats.readthedocs.io
License
Free software: BSD-3-Clause license
Credits
Created by Sophia Man Yang.
Maintained by the conda-incubator community.
1 maintainer
Metadata
1 maintainer
Release files for condastats 0.4.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| condastats-0.4.2.tar.gz | 181.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| condastats-0.4.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 190.9 kB
Release files / condastats-0.4.2.tar.gz
| Download URL | condastats-0.4.2.tar.gz |
|---|---|
| Size | 181.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Feb 6, 2026.
Transparency logRelease files / condastats-0.4.2-py3-none-any.whl
| Download URL | condastats-0.4.2-py3-none-any.whl |
|---|---|
| Size | 9.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
72b38aed349e255d27e00a95933235633958770e895ede20a177698f548a517f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Feb 6, 2026.
Transparency log
