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Internal Python Packages

Python packages with the GitHub topic internal. Sorted by monthly downloads, with stars and forks.
merantix-momentum
mxm-scaffold

Scaffold is a library that makes building AI solutions on the Merantix Momentum AI Platform a walk in the park.

8K 9 2
pharindoko
pharindoko-cdk-internal-gateway

CDK construct to create internal serverless applications and websites

2K 7 2
openadmin-team
openadmin-dev

Open admin package for python

2K 1 0
onespacemedia
onespacemedia-cms

A collection of Django extensions that add content-management facilities to Django projects.

1K 14 7
openadmin-team
openadmin

Open admin package for python

846 1 0
MujyKun
weverse

Weverse creates internal cache for the communities a user follows on weverse.io

791 17 4
freepik-company
cogito

Cogito is a Python module designed to streamline the creation and deployment of inference services. It provides tools and abstractions to wrap machine learning models and expose them as robust, production-ready APIs with minimal effort.

627 1 1
onespacemedia
onespacemedia-server-management

A set of server management tools used by Onespacemedia.

484 8 4
jceresearch
pydit-jceresearch

Library of data wrangling functions that an internal auditor typically needs (for my own use and learning, if you wish to collaborate pls get in touch, or use at your own peril).

481 2 0
constructpm
pysyncgateway

Python library for communication with Couchbase Sync Gateway

421 1 0
dmptrluke
foxtail-contact

A simple, reusable Django contact form application, for internal use.

271 0 0
iyuangang
nanodns

A lightweight, zero-dependency DNS server for internal networks — configured with a single JSON file.

243 1 0
okashaluai
bunkersync

BunkerSync simplifies Git repository syncing. Sync internal and external repositories with branch filtering and automatic syncing. Ideal for developers who need to keep repositories in sync.

221 1 0
openadmin-team
openadmin-poc

Open admin package for python

155 1 0
CoderLogy
dasst

Get disk usage information like how much space is available, free, and used.

89 0 0
Simon-Bertrand
clusters-features

The Clusters-Features package allows data science users to compute high-level linear algebra operations on any type of data set. It computes approximatively 40 internal evaluation scores such as Davies-Bouldin Index, C Index, Dunn and its Generalized Indexes and many more ! Other features are also available to evaluate the clustering quality.

80 34 8
    • Original data from PyPI, GitHub, and OSV; downloads served through ClickHouse
    • Sources & methodology