Skip to main content

rgapi

rgapi provides fd-style file discovery and rg-style text search from Python without starting a shell command.

It uses the same ignore, grep-regex, and grep-searcher crates that ripgrep uses for walking, regex matching, and file scanning. Walking and searching run in parallel by default. Most expensive work stays in Rust.

Overview

For common file discovery and search:

from rgapi import fd, ls, rg, rg_iter

fd(".", ext="py", exclude="test_*.py")
ls("src")
for row in rg_iter("TODO", ".", include="*.py", context=2): print(row.asdict())
rg("TODO", ".", ext="py", skip_dir=".venv", paths=True)

For cell-aware search of Jupyter notebooks (see Notebooks):

from rgapi import nbrg

nbrg("read_csv", ".", cell_context=1)

Walk and search functions have async versions. Streaming versions yield results as the search finds them. See Async:

from rgapi import fda, rga, rga_iter, nbrga, nbrga_iter

await rga("TODO", ".", ext="py", timeout_ms=200)
async for row in rga_iter("TODO", "."): print(row)

Use the lower-level functions to compile a regex, search text or a single file, or walk a directory:

from rgapi import compile, search_path, search_text, walk

matcher = compile("TODO")
matcher.is_match("TODO")
matcher.finditer("TODO TODO")

walk(".")
search_text(matcher, "alpha\nTODO\nomega\n", path="memory.txt", context=1)
search_path(matcher, "src/lib.rs", display_path="src/lib.rs")

Install

pip install rgapi

File discovery

fd and walk return absolute pathlib.Path objects. Use them directly with .read_text(), .open(), .stat(), or other filesystem operations. Their collected results display names relative to root. Pass root as a str or Path. The sync and async APIs expand ~ and accept ., ./, and paths containing ...

Discovery uses the ignore crate with ripgrep's default filters. It reads .gitignore, .ignore, and .rgignore files. .rgignore takes precedence over .gitignore. Pass ignore=False to disable all ignore-file filtering, including .rgignore.

Hidden files are skipped unless hidden=True. Discovery returns symlinks themselves, including explicitly named roots and dangling links. Set follow_links=True to traverse their targets. Paths retain the symlink spelling. Use same_file_system=True to avoid crossing filesystem boundaries.

Traversal runs in parallel without guaranteed result order. Use sorted(...) when order matters.

fd adds filename filters to walk. Its pattern is a smart-case regex matched against each basename. Lowercase patterns match case-insensitively. A pattern containing uppercase letters is case-sensitive. Use path_re to match the slash-separated relative path instead.

include and exclude use case-sensitive glob syntax. glob= is an alias for include=. Patterns without / match names at any depth, so *.py matches src/app.py. Patterns containing / are root-relative. * stays within a path component; ** spans directories: src/* matches immediate children, whereas src/** also matches deeper descendants. Matching a directory with exclude prunes its entire subtree. Includes never prune traversal. Excludes always win, and includes do not override ignore rules.

Filter extensions with ext="py" or ext=["py", "rs"]. Extension and glob filters must both match. For example, include="src/*", ext="py" requires src/* and *.py, like combining rg -g with -t.

Set min_depth and max_depth to bound recursion. max_filesize skips files above a byte limit.

ls follows the shell command's listing conventions. It uses fd with max_depth=1, includes directories, disables ignore rules, and sorts by name. Set hidden=True for ls -a behaviour. All fd filters remain available.

fd_iter yields absolute Path objects as the walk finds them. It accepts every fd filter. Stopping iteration ends the walk. It does not accept timeout_ms.

path_re and skip_path_re filter slash-separated relative paths using regexes. They select returned paths or searched files without changing traversal. To skip entire subtrees, use skip_dir with a glob or skip_dir_re with a regex.

rg and rg_iter return structured SearchLine rows. They accept the same filters as fd: include, exclude, glob, ext, path_re, skip_path_re, skip_dir, skip_dir_re, min_depth, max_depth, max_filesize, follow_links, and same_file_system.

Search is case-sensitive by default, matching rg. Use smart_case=True for rg --smart-case behaviour. Use case_sensitive=False to force case-insensitive matching.

Each SearchLine has these fields:

kind         'match', 'before', 'after', or 'context'
path         path relative to root
line_number  1-based line number
lnhash       exhash-style `lineno|hash|` address for the line
line         line text without the trailing newline
matches      list of (start, end) byte offsets for match rows

rg, search_text, and search_path return SearchResults by default. This list subclass displays as rg-style multiline text in str() and notebook pretty output. rg_iter yields rows lazily.

SearchLine has a structured repr and an rg-style str. The string display truncates line to 180 characters with a trailing . repr and asdict() retain the full line. SearchLine.asdict() returns the fields as a plain Python dictionary.

Pass lnhashs=True to rg or rg_iter to display hash addresses instead of line numbers. The line_number field remains available.

For other result forms, use rg(..., paths=True) to return unique matched paths or rg(..., count=True) to count match spans. paths and count cannot both be set.

Path results

fd, walk, and ls return PathResults, a list of absolute Path objects. So do rg and nbrg with paths=True, and their async equivalents. Indexing or iterating returns ordinary Paths:

for path in fd("src", ext="py"):
    text = path.read_text()
    size = path.stat().st_size

Use .name, .suffix, and .relative_to(root) for path components. .stat() follows symlinks; .lstat() inspects the link itself. .readlink() returns a link's target. Discovery preserves native filenames, including literal backslashes on Unix and non-UTF-8 names on filesystems that support them.

PathResults displays as an ls -l-style listing of at most rgapi.MAX_REPR rows. A final … N more line reports omitted rows. The listing uses .lstat() only on displayed rows. show_target=True adds symlink targets. str(res) returns one root-relative name per line. Slices retain the display root and completion status. list(res) returns the absolute Paths without the custom display.

Structured text and notebook search rows retain root-relative string labels in their path fields. Content searches still follow explicitly named root links. This differs from discovery's default of returning the link itself.

The Rust find and find_iter APIs return native PathBuf values relative to the root. For an explicitly named file or unfollowed root link, the result is its basename.

Rust callers can set FindOptions::special_files to also discover FIFOs, sockets, and device nodes, for example to reject unsupported entries during archiving. This defaults to false; normal discovery returns regular files, directories when requested, and symlinks.

Limits and timeouts

Set timeout_ms on rg, fd, walk, or ls to stop at a deadline and return the results collected so far. Their async versions accept it too. Results report why the operation stopped:

  • stop_reason=None means the result is complete.
  • stop_reason="max_results" means max_results truncated the result.
  • stop_reason="timeout" means the deadline was reached.

complete is true exactly when stop_reason is None. count=True returns a plain integer without a completion flag. It cannot be combined with timeout_ms.

Context lines

before_context, after_context, and context correspond to rg -B, rg -A, and rg -C. Files containing NUL bytes or invalid UTF-8 are skipped.

Block summaries

rg(..., summary=True) returns one row per blank-line-delimited block instead of one row per matching line. Empty and whitespace-only lines delimit blocks. A block containing several matching lines appears once and keeps every matching SearchLine in matches.

rg("TODO", ".", summary=True, context=1, maxlen=120)

The result is BlockResults, a list of SearchBlock objects. Each block has path, block_index, start_line, end_line, start_lnhash, end_lnhash, kind, full source, and matches.

Matches display as path:start-end:source. Context displays as path:start-end-source. With lnhashs=True, the range uses copyable boundary addresses such as path:4|Py|,6|HD|:source. Newline runs display as . maxlen limits the displayed text without changing source or asdict().

In summary mode, before_context, after_context, and context count neighbouring blocks. max_results counts matching blocks and retains their context. summary=True cannot be combined with paths or count. It can be combined with lnhash for copyable block boundaries.

Notebooks

nbrg searches cell source in Jupyter .ipynb files and returns matching cells. Each result identifies the cell by its nbformat cell/message id, which stays stable across edits.

Plain rg searches escaped notebook JSON, including outputs and metadata. Its line numbers refer to that JSON file. nbrg searches the reconstructed cell source and identifies the cell you would edit.

from rgapi import nbrg

nbrg("read_csv", ".")                  # cells whose source matches, across all notebooks under "."
nbrg("read_csv", ".", cell_context=1)  # also include neighbouring cells as context

Notebook discovery, parsing, and matching run together in one parallel Rust pass. Matching uses rg's regex engine with the same case_sensitive and smart_case behaviour. nbrg accepts the discovery filters from fd and rg, including include, exclude, glob, hidden, max_depth, and skip_dir.

nbrg returns NbResults, a list of NbCell. Each NbCell has:

path         notebook path relative to root
cell_index   0-based position of the cell in the notebook
cell_id      nbformat cell id (falls back to the cell index for notebooks without ids)
cell_type    'code', 'markdown', or 'raw'
kind         'match' or 'context'
source       full cell source
matches      list of SearchLine rows for the matched lines within the cell

NbCell.asdict() returns these fields as a plain dictionary. Its matches field contains SearchLine dictionaries.

str() and pretty display show one line per cell. Matches use path:cell_id:source. Context uses path:cell_id-source. Newline runs display as .

A matching cell's display starts at its first matched line. Earlier lines are replaced by …[Ln], where n is the matched line's one-based number within the cell. A leading #| directive is retained, as in #| export…[L4]needle here.

maxlen limits displayed source and defaults to 120. The full source remains in source and asdict(). Each cell appears once even when it has multiple matches. All hits remain in matches.

cell_context=N includes the N cells before and after each match as kind="context" rows. Context cells are deduplicated within each notebook.

nbrg_iter yields NbCell rows as notebooks are parsed. For collected results, nbrg accepts these limits and result options:

  • max_results returns at most that many cells after sorting by path and cell index.
  • count=True returns the number of matching cells.
  • timeout_ms applies a deadline with the same stop_reason values as rg.

The parser reads only each cell's id, cell_type, and source. It skips outputs and metadata without loading embedded images or plots. search_nb(pattern, path, ...) searches a single notebook file in the same way.

rgapi-nbrg exposes notebook search without requiring a Python kernel:

rgapi-nbrg 'read_csv' .
rgapi-nbrg 'read_csv' . --cell-context 1
rgapi-nbrg 'read_csv' nbs --glob '*.ipynb' --max-results 20

Run rgapi-nbrg --help for its discovery, matching, and output options.

Async

fda, rga, and nbrga are async versions of fd, rg, and nbrg. The async generators fda_iter, rga_iter, and nbrga_iter yield rows as the search finds them. Async functions accept the same arguments and return the same types as their synchronous equivalents.

from rgapi import fda, rga, rga_iter

await fda(".", ext="py")
res = await rga("TODO", ".", timeout_ms=200)
if not res.complete: print(f"partial results: {res.stop_reason}")
async for row in rga_iter("TODO", "."): ...

Walking and searching use Rust threads, without asyncio.to_thread or the event loop's executor. A callback uses loop.call_soon_threadsafe to complete the awaited future or supply results to the generator's queue. The event loop remains unblocked, with normal contextvars behaviour.

Cancellation stops the Rust workers within about one row. This includes timeouts from asyncio.wait_for or asyncio.timeout. It also includes task cancellation, such as starlette cancelling a disconnected client's request.

Wrap an async iterator in contextlib.aclosing when leaving its loop early. break alone delays generator finalization until garbage collection. The context manager provides prompt cleanup:

async with aclosing(rga_iter("TODO", ".")) as it:
    async for row in it:
        if enough(row): break

Use streaming results for incremental display, such as sending batches to a browser as they arrive. Collected results with timeout_ms return what was found before the deadline. Use asyncio.wait_for when a timeout should raise instead.

Benchmarks

tools/bench.py compares the rg CLI with in-process rgapi. Run it against a release build. One run on this machine, using best time from seven repeats:

fixture rg rgapi
6 x 2 MB files, 2 matches 6.54 ms 1.44 ms
800 x 1.5 KB files, 2 matches 13.90 ms 10.94 ms
tiny dir, repeated 30x 5.92 ms 2.14 ms

Release files for rgapi 0.1.28

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for rgapi 0.1.28
File Size Uploaded
rgapi-0.1.28.tar.gz 58.0 kB Details

Built distributions (wheels)

Table of built distributions (wheels) for rgapi 0.1.28
File
rgapi-0.1.28-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.13 CPython 3.13 Linux glibc 2.17+ x86-64 Details
rgapi-0.1.28-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.13 CPython 3.13 Linux glibc 2.17+ ARM64 Details
rgapi-0.1.28-cp313-cp313-macosx_11_0_arm64.whl CPython 3.13 CPython 3.13 macOS 11.0+ ARM64 Details
rgapi-0.1.28-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.12 CPython 3.12 Linux glibc 2.17+ x86-64 Details
rgapi-0.1.28-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.12 CPython 3.12 Linux glibc 2.17+ ARM64 Details
rgapi-0.1.28-cp312-cp312-macosx_11_0_arm64.whl CPython 3.12 CPython 3.12 macOS 11.0+ ARM64 Details
rgapi-0.1.28-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.11 CPython 3.11 Linux glibc 2.17+ x86-64 Details
rgapi-0.1.28-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.11 CPython 3.11 Linux glibc 2.17+ ARM64 Details
rgapi-0.1.28-cp311-cp311-macosx_11_0_arm64.whl CPython 3.11 CPython 3.11 macOS 11.0+ ARM64 Details
rgapi-0.1.28-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.10 CPython 3.10 Linux glibc 2.17+ x86-64 Details
rgapi-0.1.28-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.10 CPython 3.10 Linux glibc 2.17+ ARM64 Details
rgapi-0.1.28-cp310-cp310-macosx_11_0_arm64.whl CPython 3.10 CPython 3.10 macOS 11.0+ ARM64 Details

Total release size: 17.5 MB

Release files / rgapi-0.1.28.tar.gz

Download URL rgapi-0.1.28.tar.gz
Size 58.0 kB
Tags Source
SHA-256 checksum
How to use checksums
aa705f0fa813bf4f7732feccd3579cf99f1712d3eab7f4c22fcf00315807ac40
BLAKE2b-256 checksum
How to use checksums
e84a104058a04f506d2c868ccc3fa1a6dd9ebd9ba9bb21b8b933736f85e3e0c3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

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 Sep 19, 2026.

Transparency log

Release files / rgapi-0.1.28-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL rgapi-0.1.28-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 1.5 MB
Tags CPython 3.13 Linux glibc 2.17+ x86-64
SHA-256 checksum
How to use checksums
ac7782e68d23fcceca6d58e9786d93c83c347e7efc1d3b19d09420d38cc1e606
BLAKE2b-256 checksum
How to use checksums
b2182b6bb5fdf95ed699d8c72922f3dfc28f2868113a7e51d093311bef644fec
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

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 Sep 19, 2026.

Transparency log

Release files / rgapi-0.1.28-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL rgapi-0.1.28-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size 1.5 MB
Tags CPython 3.13 Linux glibc 2.17+ ARM64
SHA-256 checksum
How to use checksums
685be4aa7189402ae4f1e9139fa8c2e79285474d2ecb3a093089a19c02e46313
BLAKE2b-256 checksum
How to use checksums
1ce9e50118bc33c5bfbaebe5f6ea26ae340de5958ddcf51120fb8842f9e66ccb
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

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 Sep 19, 2026.

Transparency log

Release files / rgapi-0.1.28-cp313-cp313-macosx_11_0_arm64.whl

Download URL rgapi-0.1.28-cp313-cp313-macosx_11_0_arm64.whl
Size 1.4 MB
Tags CPython 3.13 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
65e0b87e0e3b210f867f75f433ab80579db4de483910083ab2f30603e6414af1
BLAKE2b-256 checksum
How to use checksums
69ecefd454a80038e05a567d24ac3c5563f0bbddf206278014e6b0f8eeeb7295
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

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 Sep 19, 2026.

Transparency log

Release files / rgapi-0.1.28-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL rgapi-0.1.28-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 1.5 MB
Tags CPython 3.12 Linux glibc 2.17+ x86-64
SHA-256 checksum
How to use checksums
86d797eb33beba480a46f7a1d03f6bc36e2eb990984bfe74fc207eec323e2ede
BLAKE2b-256 checksum
How to use checksums
32af81d378936ce562e994b9e4a91bbf74a2ff6a01601276a4b7258ba0d4ae38
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

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 Sep 19, 2026.

Transparency log

Release files / rgapi-0.1.28-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL rgapi-0.1.28-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size 1.5 MB
Tags CPython 3.12 Linux glibc 2.17+ ARM64
SHA-256 checksum
How to use checksums
40941d08d2cd7411da340a251dc5b4c3f7e0436077260e4af8c1eb7812ac0bab
BLAKE2b-256 checksum
How to use checksums
fe4ea3e5284bc36e9e579d32df0d20382e83bbf8bdec4c47a1ad0bf7de29ca11
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

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 Sep 19, 2026.

Transparency log

Release files / rgapi-0.1.28-cp312-cp312-macosx_11_0_arm64.whl

Download URL rgapi-0.1.28-cp312-cp312-macosx_11_0_arm64.whl
Size 1.4 MB
Tags CPython 3.12 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
09e591c52b2857263a91d3be3344005fec5dee5a79ca83e667c8299193eb1d46
BLAKE2b-256 checksum
How to use checksums
6f3ecb69bb108428d491b67ed25c1b6e75beeec677be04ebc1b2b426e0d21b23
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

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 Sep 19, 2026.

Transparency log

Release files / rgapi-0.1.28-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL rgapi-0.1.28-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 1.5 MB
Tags CPython 3.11 Linux glibc 2.17+ x86-64
SHA-256 checksum
How to use checksums
72b88380a2910fb7c10a21be921fa12f40d95d354d364ef0ffe5208a8e77f536
BLAKE2b-256 checksum
How to use checksums
732168297fc3bffef5f57f955b9d9ba077ef4acbe34e6c61682e27f7fd3e55f6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

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 Sep 19, 2026.

Transparency log

Release files / rgapi-0.1.28-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL rgapi-0.1.28-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size 1.5 MB
Tags CPython 3.11 Linux glibc 2.17+ ARM64
SHA-256 checksum
How to use checksums
7151ac66c31b1076b985dc0b637f1dc38e9b0fe82f169e9bb338e8018e05ab67
BLAKE2b-256 checksum
How to use checksums
12269b7201370562e9cee6f101c66ebea06242896ffba7cb128cec118e2bb962
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

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 Sep 19, 2026.

Transparency log

Release files / rgapi-0.1.28-cp311-cp311-macosx_11_0_arm64.whl

Download URL rgapi-0.1.28-cp311-cp311-macosx_11_0_arm64.whl
Size 1.4 MB
Tags CPython 3.11 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
a26900aa11564157cc6ce18174a312aece9e37465b604d669fb88b875f4742f4
BLAKE2b-256 checksum
How to use checksums
5438d555655ca1e58d95a43b72bd407e28761d10e360dc063df0dad69d7a3655
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

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 Sep 19, 2026.

Transparency log

Release files / rgapi-0.1.28-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL rgapi-0.1.28-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 1.5 MB
Tags CPython 3.10 Linux glibc 2.17+ x86-64
SHA-256 checksum
How to use checksums
53a9be024b72ee4e64057241e15cca18ddbff75fb284e0c38619013bd7df285f
BLAKE2b-256 checksum
How to use checksums
144a8ea4b7c5363c496d908b10563259293fcc32d4db3fe55a14bdded275cc0a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

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 Sep 19, 2026.

Transparency log

Release files / rgapi-0.1.28-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL rgapi-0.1.28-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size 1.5 MB
Tags CPython 3.10 Linux glibc 2.17+ ARM64
SHA-256 checksum
How to use checksums
9edfdb69521258b7128bf5b2e88043002e806833e7aff2b66f0adea31c0f97a5
BLAKE2b-256 checksum
How to use checksums
7867048156baa47e2d8c730f3475ed9f5fec458558d529a7093a00ff9502cb5e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

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 Sep 19, 2026.

Transparency log

Release files / rgapi-0.1.28-cp310-cp310-macosx_11_0_arm64.whl

Download URL rgapi-0.1.28-cp310-cp310-macosx_11_0_arm64.whl
Size 1.4 MB
Tags CPython 3.10 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
b3ad0eabea694383fdc515aa9e4130ed9608bbd57a3dab4003ce0f5d1c90a769
BLAKE2b-256 checksum
How to use checksums
b3fe2780a1283f3ce7146450c7dd6f11c5d0a4a1b7ac9de32a5fa4d7f26c20ea
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

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 Sep 19, 2026.

Transparency log

Release history Release notifications | RSS feed

This release

0.1.28 This release

13 release files

0.1.21

9 release files

0.1.20

9 release files

0.1.19

9 release files

0.1.18

9 release files

0.1.17

9 release files

0.1.16

9 release files

0.1.15

9 release files

0.1.14

9 release files

0.1.11

9 release files

0.1.10

9 release files

0.1.9

9 release files

0.1.8

9 release files

0.1.6

9 release files

0.1.5

9 release files

0.1.4

9 release files

0.1.2

9 release files

0.1.1

9 release files

0.1.0

9 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page