py-code.org: which PyPI packages use which names

For the latest release of 354,763 PyPI projects (every project released between 13 Nov 2025 and 13 Nov 2026, plus the most downloaded projects even when their latest release is older), these tables list every module, function and class the code imports or reaches by attribute, such as requests.Session or numpy.linalg.norm. This is the data behind the search on py-code.org. The scanner that built it is pypi-data/py-code (MIT).

The tables hold names, counts and file paths. They hold no source code.

Tables

refs (39.9 million rows, 792 MB)

One row per project and name. Sorted by name, then project.

Column	Type	Meaning
project	string	PyPI project name
name	string	Full dotted name, e.g. requests.Session
module	string	Top-level module of name, e.g. requests
files	int	Number of .py files in the project that use name
locations	list of string	Up to 3 places where it is used, as path:line

A name is recorded with every prefix: os.path.join also adds os and os.path. Attribute chains are followed up to 4 levels after the imported name. Names from the project's own top-level modules are left out, so a package does not count as a user of itself.

projects (354,763 rows, 22 MB)

Column	Type	Meaning
project	string	PyPI project name
version	string	Latest release at scan time
upload_time	timestamp	Upload time of the scanned file (UTC)
requires_python	string	Requires-Python of the release, if set
summary	string	PyPI summary, cut at 300 characters
file	string	File that was scanned
file_size	int	Size of that file in bytes
bytes_fetched	int	Bytes the scanner downloaded to read the .py files
py_files	int	.py files in the file
py_failed	int	.py files that do not parse as current Python (mostly Python 2)
downloads_30d	int	Downloads in the 30 days before the scan, for the top 60,000 projects; 0 for the rest

own_modules (402,861 rows)

Top-level modules each project provides, from its file layout. Use it to go from an import name to a project: PIL to pillow, yaml to PyYAML.

pth_files (748 rows)

.pth files that contain an import line. Python runs these at every start-up.

How it was built

1. List every project whose latest event is newer than the cut-off date (PyPI Simple API and XML-RPC changelog), plus the 60,000 most downloaded projects.
2. For each one, take the latest release and pick one file: a pure-Python wheel, then a platform wheel, then the source distribution. Wheels are read with HTTP range requests, so only the .py and .pth files are downloaded.
3. Parse each .py file with Python's ast module and record imports and attribute access on imported names.
4. Add 30-day download counts from ClickHouse's public PyPI dataset.

12.9 million .py files were parsed. The index was last rebuilt on 13 Nov 2026. The scanner's README has the details and the measured run times.

Known limits

• Only the latest release of each project. Projects with no release in the window are not included unless they are among the 60,000 most downloaded.
• Dynamic imports (importlib.import_module, __import__, getattr) are missed.
• Names reached through variables (x = np; x.foo) are missed.
• Files that do not parse as current Python are counted in py_failed but not indexed.
• Projects whose authors asked to be left out are not included.

Example queries

Which packages use requests.Session, by downloads:

SELECT r.project, p.downloads_30d
FROM refs r JOIN projects p USING (project)
WHERE r.name = 'requests.Session'
ORDER BY p.downloads_30d DESC
LIMIT 20;

Which packages still import distutils:

SELECT count(DISTINCT project) FROM refs WHERE module = 'distutils';

With DuckDB, without downloading the files first:

SELECT count(DISTINCT project)
FROM 'hf://datasets/pypi-data/py-code/refs.parquet'
WHERE name = 'httpx.AsyncClient';

Removal

If you maintain a package and want it left out, email dev@py-code.org from an address listed on its PyPI page. It is removed at the next update.

Credit

From 2023 to 2026 py-code.org hosted Tom Forbes' PyPI Data project. This dataset is a new, independent project on the same domain and does not reuse its data.