Skip to main content

fenic is a Python DataFrame library for processing text data with APIs inspired by PySpark.

Project description

Author-email: typedef <hello@typedef.ai> License-Expression: Apache-2.0 Requires-Python: >=3.10, <3.13 Description-Content-Type: text/x-rst Project-URL: Homepage, https://github.com/typedef-ai/fenic Project-URL: Issues, https://github.com/typedef-ai/fenic/issues

fenic: The dataframe (re)built for LLM inference

fenic is an opinionated, PySpark-inspired DataFrame framework for building AI and agentic applications. Transform unstructured and structured data into insights using familiar DataFrame operations enhanced with semantic intelligence. With first-class support for markdown, transcripts, and semantic operators, plus efficient batch inference across any model provider.

See github.com/typedef-ai/fenic for more information

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

fenic-0.9.0-cp39-abi3-win_amd64.whl (8.5 MB view details)

Uploaded CPython 3.9+Windows x86-64

fenic-0.9.0-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (9.6 MB view details)

Uploaded CPython 3.9+manylinux: glibc 2.17+ x86-64

fenic-0.9.0-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (9.2 MB view details)

Uploaded CPython 3.9+manylinux: glibc 2.17+ ARM64

fenic-0.9.0-cp39-abi3-macosx_10_12_x86_64.whl (8.8 MB view details)

Uploaded CPython 3.9+macOS 10.12+ x86-64

fenic-0.9.0-cp39-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl (16.6 MB view details)

Uploaded CPython 3.9+macOS 10.12+ universal2 (ARM64, x86-64)macOS 10.12+ x86-64macOS 11.0+ ARM64

File details

Details for the file fenic-0.9.0-cp39-abi3-win_amd64.whl.

File metadata

  • Download URL: fenic-0.9.0-cp39-abi3-win_amd64.whl
  • Upload date:
  • Size: 8.5 MB
  • Tags: CPython 3.9+, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: maturin/1.13.1

File hashes

Hashes for fenic-0.9.0-cp39-abi3-win_amd64.whl
Algorithm Hash digest
SHA256 a3c62530832b1c3a43350e3bbdcb17fe7ee633b8a44803c139405b32db9bc391
MD5 29db01860cf628ce04438a79ff77fbb3
BLAKE2b-256 b0888f97e60a6bd6102bef2aefdc5e819c61cbfb0ef562fe7c4fad95618fc50d

See more details on using hashes here.

File details

Details for the file fenic-0.9.0-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for fenic-0.9.0-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3ada1fbcfecbaf4afb7a4f799cd56b6d242b79a7534f736a5db08795f587b651
MD5 2439813f9f9273247c6cb6fd92d0928c
BLAKE2b-256 e2ae939a88dc2a1280ee90dbe86f7f6f63db983e93ff0224674873d0d55511a6

See more details on using hashes here.

File details

Details for the file fenic-0.9.0-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for fenic-0.9.0-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 e5d719f278061a3384b7049925e7562b9fe9642a37dad39303314432cd8b18b6
MD5 26bca3103e4fb561dec08ac2dffb721d
BLAKE2b-256 c9a53d4b40bfc0d213b7e45a8b822a6e863f5c2fa4056c2c35046123c6b64a38

See more details on using hashes here.

File details

Details for the file fenic-0.9.0-cp39-abi3-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for fenic-0.9.0-cp39-abi3-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 b28335152147d25ee8cee2b100dc6959ef504adc524cda72b01d9e7683ac2046
MD5 f269658928455a9ee0499199a064c788
BLAKE2b-256 1c7eaa2c8e31b2465efd01c36da215eba499dc1c76182826d085e5874a910762

See more details on using hashes here.

File details

Details for the file fenic-0.9.0-cp39-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl.

File metadata

File hashes

Hashes for fenic-0.9.0-cp39-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Algorithm Hash digest
SHA256 0b20ab1e56d5170b6713e876bd97a3bccd78a9ad54292a5bf289ead632eb0dca
MD5 553ccdb581c39bcbfb674e27c58d6f42
BLAKE2b-256 236c39885e0d2e3a10b748e32ff0fe2f48af1d8191f9508a08d843887f0ddf63

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page