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.

agentic-workspace

Repository-native operating context and dynamic control for coding agents: continuity, reusable procedures and current constraints across sessions. Rust, Python and TypeScript.

aisef

AISEF — AI Software Engineering Framework: input is docs/requirements.md, output is gate-verified code with SHA-bound evidence

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.

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.

gator-command

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

kolega-code

Agentic coding in the terminal: the model writes its own multi-agent workflows (Gigacode). Provider-agnostic, local-first, 15+ model providers, MCP support.

tiferet

Build an app, the beautiful way.

scinexus

composable apps for scientific programming

retornatus

Repo-native governance for AI coding agents (Cursor, Claude Code, Codex). Agree on the finish line in writing, execute under that contract, and close only when evidence proves the goal. Intent, progress and lessons live in .retornatus/ in git, not in chat history.

ait-native

Local-first task workflows for coding agents: bind intent, isolate work, verify changes, and trace their history.

maid-runner

A deterministic CLI for manifest-driven AI development. MAID Runner turns change requirements into enforceable contracts for planning, TDD, implementation, review, and validation—helping AI coding agents deliver disciplined, evidence-backed changes with less drift.

apache-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.

ra-aid

Develop software autonomously.

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.

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.

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.

bello

3x more usage on your coding agent, same quality. Have an multi-agent setup in mind? Bello already supports it. Mix models, run agents in parallel, have them check each other’s work, and reduce unnecessary model calls and noisy tool output. Turn on only what you need.

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.

apache-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.