Software Engineering Python Packages

swebench

SWE-bench: Can Language Models Resolve Real-world Github Issues?

swesmith

[NeurIPS 2025 D&B Spotlight] Scaling Data for SWE-agents

pydriller

Python Framework to analyse Git repositories

sf-hamilton

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

apache-hamilton

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

gator-command

A harness for AI coding: repo-native memory, module charters, and a closed loop for navigation coding.

sf-hamilton-sdk

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

gito-bot

An AI-powered GitHub code review tool that uses LLMs to detect high-confidence, high-impact issues—such as security vulnerabilities, bugs, and maintainability concerns.

korgex

The verifiable AI coding agent : provider-agnostic, MCP-native, tamper-evident ledger

aisee-plugin

AI software engineering toolkit for OpenSpec and Compound Engineering workflows.

sf-hamilton-ui

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

tiferet

Build an app, the beautiful way.

ra-aid

Develop software autonomously.

ai-code-review

An AI-powered GitHub code review tool that uses LLMs to detect high-confidence, high-impact issues—such as security vulnerabilities, bugs, and maintainability concerns.

ai-cr

An AI-powered GitHub code review tool that uses LLMs to detect high-confidence, high-impact issues—such as security vulnerabilities, bugs, and maintainability concerns.

scinexus

composable apps for scientific programming

github-code-review

An AI-powered GitHub code review tool that uses LLMs to detect high-confidence, high-impact issues—such as security vulnerabilities, bugs, and maintainability concerns.

sf-hamilton-lsp

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

abvx-agent-skills

Reviewable agent skills for coding agents: smaller diffs, token economy, delivery gates, frontend verification, and LoopOps.

rylees

Rylees uses LLM to generate release notes from your Git history, pairing a developer CLI with a web platform for publishing clean, accessible changelogs for your customers.

incan

Incan: a modern, Pythonic language that compiles to Rust! Type-safe, async-friendly, with fixtures, testing, and web/inter-op built in.

dioxide

Opinionated, Zero-ceremony, Rust-backed dependency injection for Python

asts

Programmatic modification and evaluation of software

tree-plus

A `tree` util enhanced with tokens, lines, and components. `pip install -U tree_plus`