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OpenAI Acquires Astral: Ruff, uv Join Codex Team

Sakthy
Sakthy
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Nov 10, 2026 10:49 PM
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OpenAI Acquires Astral: Ruff, uv Join Codex Team

Officially launched on November 10, 2026.

💡 TL;DR

  • OpenAI acquired Astral, maker of the Rust-based Python tools uv, Ruff, and ty, folding the team into its Codex coding agent.
  • All three tools will remain open source after the acquisition closes, with financial terms undisclosed in the November 10, 2026 announcement.
  • Codex now serves over two million weekly active users, with triple the user growth and five times the usage since early 2026.

OpenAI officially acquired Astral on November 10, 2026, bringing the Rust-based Python toolmaker's team and flagship products into its Codex coding-agent division. The deal integrates uv, Ruff, and ty, three tools that have become near-standard in modern Python workflows, into OpenAI's growing developer platform. Financial terms were not disclosed, and both companies confirmed all three tools will remain open source after the acquisition closes.

What Astral Brings to Codex

Astral built three widely adopted Python tools written in Rust for performance. The uv package and project manager offers speed advantages over traditional Python tooling, while Ruff serves as a fast linter and formatter. The ty type checker rounds out the suite. According to reports, uv alone has attracted more than 500 contributors on GitHub, signaling strong developer adoption across the Python community.

Astral founder and CEO Charlie Marsh emphasized continuity in the announcement. "As part of Codex, we'll continue evolving our open source tools to push the frontier of software development," Marsh said. The Astral team will operate independently until the deal closes, then join the Codex engineering group.

Codex Usage Growth in 2026

OpenAI's Codex coding agent has seen triple the user growth and a five-fold increase in usage since the start of 2026, now serving more than two million weekly active users. Thibault Sottiaux, Codex Lead at OpenAI, described the strategic goal as building "the agent most capable of working across the entire software developer lifecycle."

The acquisition positions OpenAI to embed Astral's Rust-based tooling directly into Codex workflows, potentially offering faster package management, linting, and type checking inside the agent environment. This mirrors competitive moves by Microsoft's GitHub Copilot and Google's Gemini Code Assist, both racing to wire AI agents into the toolchains developers already run daily.

Release Date and Availability

OpenAI officially announced the Astral acquisition on November 10, 2026. The companies will operate separately until regulatory and operational close, after which the Astral team formally joins the Codex organization. No timeline for integration milestones was provided in the announcement.

Open Source Commitment

Both OpenAI and Astral confirmed that uv, Ruff, and ty will remain open source projects after the acquisition completes. This commitment addresses a key concern in developer-tool acquisitions, where commercial interests can shift licensing or support models. The Python ecosystem has rapidly adopted these tools, and the open-source pledge aims to preserve community trust and contribution momentum.

What This Means

The Astral acquisition marks OpenAI's clearest signal yet that Codex will compete on infrastructure, not just model capability. By owning the Rust-based tooling that Python developers already rely on, OpenAI can embed Codex deeper into daily workflows, from package installation to code formatting and type validation. For the Python community, the deal raises the stakes in the race to control the developer toolchain, with Microsoft, Google, and now OpenAI each betting that the coding agent that owns the tools will own the developer relationship.

About the writer

Sakthy is a content writer at Emergent, turning complex topics like AI tools, website building, and workflow automation into clear, actionable content. She writes with search intent and real user needs in mind, making technical concepts easy to understand and genuinely useful.

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