PyRank
  • Search
  • PyPI
  • GitHub
  • Insights
  • Compare
  • Advisories
  • Ecosystem
  • About

Ai Engineering Python Packages

Python packages with the GitHub topic ai-engineering. Sorted by monthly downloads, with stars and forks.
Eventual-Inc
daft

High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale

1.2M 6K 570
openlit
openlit

OpenLIT is the open-source agent harness engineering platform: trace, evaluate, guard, and improve everything around the model in your AI agents, on OTEL.

292K 3K 427
globalaiplatform
langdiff

Progressive UI from LLM

84K 286 11
tensorzero
tensorzero

TensorZero is an open-source LLMOps platform that unifies an LLM gateway, observability, evaluation, optimization, and experimentation.

35K 12K 973
atulkapoor
fde-framework

A framework for Forward Deployed Engineers: from problem statement to a deployable AI project — every decision traced to a fact, every fact to a source.

15K 10 0
pcvantol
forge-autonomy

Local-first, AI-native engineering platform for governed, repository-first engineering.

9K 1 0
dalmia
calibrate-sdk

Python SDK for Calibrate's API

8K 0 0
BrennonTWilliams
little-loops

little-loops has been deprecated as a public project. little-loops 2 is coming soon.

7K 0 0
ThalesGroup
agilab

Open-source platform for reproducible AI/ML workflows, from local experimentation to distributed workers and long-lived services.

5K 22 2
Eventual-Inc
daft-lts

High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale

5K 6K 570
ThalesGroup
agi-env

Open-source platform for reproducible AI/ML workflows, from local experimentation to distributed workers and long-lived services.

4K 22 2
ThalesGroup
agi-node

Open-source platform for reproducible AI/ML workflows, from local experimentation to distributed workers and long-lived services.

4K 22 2
ThalesGroup
agi-gui

Open-source platform for reproducible AI/ML workflows, from local experimentation to distributed workers and long-lived services.

4K 22 2
ThalesGroup
agi-cluster

Open-source platform for reproducible AI/ML workflows, from local experimentation to distributed workers and long-lived services.

3K 22 2
ThalesGroup
agi-core

Open-source platform for reproducible AI/ML workflows, from local experimentation to distributed workers and long-lived services.

3K 22 2
ThalesGroup
agi-pages

Open-source platform for reproducible AI/ML workflows, from local experimentation to distributed workers and long-lived services.

3K 22 2
ThalesGroup
agi-apps

Open-source platform for reproducible AI/ML workflows, from local experimentation to distributed workers and long-lived services.

3K 22 2
Elijas
token-throttle

Multi-resource rate limiting for LLM APIs. Reserve tokens before you call, refund what you don't use, stay under the limit across workers.

3K 22 2
Ort0x36
depdesk

Find the deprecated and retired LLM models your code still calls. CLI, pre-commit hook and GitHub Action that fail your build before an OpenAI or Anthropic model is retired.

3K 0 0
ThalesGroup
agi-web

Open-source platform for reproducible AI/ML workflows, from local experimentation to distributed workers and long-lived services.

2K 22 2
ThalesGroup
agi-app-learning-assessment

Open-source platform for reproducible AI/ML workflows, from local experimentation to distributed workers and long-lived services.

2K 22 2
ThalesGroup
agi-app-data-quality-gate

Open-source platform for reproducible AI/ML workflows, from local experimentation to distributed workers and long-lived services.

2K 22 2
ThalesGroup
agi-app-flight-telemetry

Open-source platform for reproducible AI/ML workflows, from local experimentation to distributed workers and long-lived services.

2K 22 2
ThalesGroup
agi-app-pytorch-playground

Open-source platform for reproducible AI/ML workflows, from local experimentation to distributed workers and long-lived services.

2K 22 2
    • Original data from PyPI, GitHub, and OSV; downloads served through ClickHouse
    • Sources & methodology