--- title: "conda vs envd" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/conda-conda-vs-tensorchord-envd" tools: ["conda-conda", "tensorchord-envd"] --- # conda vs envd *GraphCanon updated Sep 20, 2026* ## Verdict Pick conda if conda is a versatile package and environment manager for Python, suitable for managing environments across different projects, including AI development; pick envd if envd is a tool for creating reproducible development environments using Docker, suitable for both human developers and AI agents. [conda](https://docs.conda.io/projects/conda/) reports 7.5k GitHub stars, 2.2k forks, and 663 open issues, last pushed Sep 18, 2026. [envd](https://envd.tensorchord.ai/) has 2.2k stars, 168 forks, and 139 open issues, last pushed Jul 25, 2026. Figures are from public GitHub metadata via [conda's repository](https://github.com/conda/conda) and [envd's repository](https://github.com/tensorchord/envd). | | [conda](/tools/conda-conda.md) | [envd](/tools/tensorchord-envd.md) | | --- | --- | --- | | Tagline | A system-level, binary package and environment manager running on all major operating systems and platforms. | Reproducible development environment for humans and agents | | Stars | 7,507 | 2,230 | | Forks | 2,223 | 168 | | Open issues | 663 | 139 | | Language | Python | Go | | Adopt for | Conda is a versatile package and environment manager for Python, suitable for managing environments across different projects, including AI development. | envd is a tool for creating reproducible development environments using Docker, suitable for both human developers and AI agents. | | Persona | - | - | | Runtime | - | - | | License | Other | Apache-2.0 | | Categories | Developer Tools | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [conda](/tools/conda-conda.md) | [envd](/tools/tensorchord-envd.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 0d | 55d | | Open issues (now) | 663 | 139 | | Stars delta | +29 (30d) | +16 (30d) | | Open issues delta | -7 (30d) | +2 (30d) | | Full report | [trust report](/tools/conda-conda/trust.md) | [trust report](/tools/tensorchord-envd/trust.md) | ## Decision facts: conda - **Adopt for:** Conda is a versatile package and environment manager for Python, suitable for managing environments across different projects, including AI development. ## Decision facts: envd - **Requirements:** Requires Docker; Docker version 20.10.0 or above is required. - **Adopt for:** envd is a tool for creating reproducible development environments using Docker, suitable for both human developers and AI agents. ## Choose when ### Choose conda if… - conda is primarily Python; envd is Go. - License: conda is Other, envd is Apache-2.0. - Tags unique to conda: conda, package-management, python. - When you need a tool that can manage environments efficiently using hard links, making environments space efficient and quick to create. ### Choose envd if… - envd is primarily Go; conda is Python. - License: envd is Apache-2.0, conda is Other. - Requirements: Requires Docker; Docker version 20.10.0 or above is required.. - Tags unique to envd: agent, buildkit, code-agent, codex. - When you need a tool that supports both human developers and AI agents for creating reproducible development environments. ## When NOT to use conda - If you are looking for a lightweight solution and do not need the extensive package management features, conda might be overkill. - When your project strictly requires the latest versions of packages that are not yet available in the conda repositories, you might prefer pip for more immediate access to updates. - If you are working in a highly restricted environment where the installation of large distributions like Anaconda is not allowed, conda might not be the best choice. ## When NOT to use envd - If your project does not require Docker or you are working with a version of Docker below 20.10.0. - When you prefer a tool that does not involve bootstrapping or additional setup steps beyond installation. - If you are looking for a tool that does not support or integrate with AI agents in the development environment. ## Common questions ### What is the difference between conda and envd? conda: A system-level, binary package and environment manager running on all major operating systems and platforms.. envd: Reproducible development environment for humans and agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose conda over envd? Choose conda over envd when conda is primarily Python; envd is Go; License: conda is Other, envd is Apache-2.0; Tags unique to conda: conda, package-management, python; When you need a tool that can manage environments efficiently using hard links, making environments space efficient and quick to create. ### When should I choose envd over conda? Choose envd over conda when envd is primarily Go; conda is Python; License: envd is Apache-2.0, conda is Other; Requirements: Requires Docker; Docker version 20.10.0 or above is required.; Tags unique to envd: agent, buildkit, code-agent, codex; When you need a tool that supports both human developers and AI agents for creating reproducible development environments. ### When should I avoid conda? If you are looking for a lightweight solution and do not need the extensive package management features, conda might be overkill. When your project strictly requires the latest versions of packages that are not yet available in the conda repositories, you might prefer pip for more immediate access to updates. If you are working in a highly restricted environment where the installation of large distributions like Anaconda is not allowed, conda might not be the best choice. ### When should I avoid envd? If your project does not require Docker or you are working with a version of Docker below 20.10.0. When you prefer a tool that does not involve bootstrapping or additional setup steps beyond installation. If you are looking for a tool that does not support or integrate with AI agents in the development environment. ### Is conda or envd more popular on GitHub? conda has more GitHub stars (7,507 vs 2,230). Stars measure visibility, not whether either tool fits your constraints. ### Are conda and envd open source? Yes - both are open-source projects on GitHub (conda: Other, envd: Apache-2.0). ### Where can I find alternatives to conda or envd? GraphCanon lists graph-backed alternatives at [conda alternatives](/tools/conda-conda/alternatives) and [envd alternatives](/tools/tensorchord-envd/alternatives) ([conda markdown twin](/tools/conda-conda/alternatives.md), [envd markdown twin](/tools/tensorchord-envd/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/conda-conda-vs-tensorchord-envd.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, conda or envd? conda: Very active. envd: Steady. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for conda and envd? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [conda trust report](/tools/conda-conda/trust); [envd trust report](/tools/tensorchord-envd/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=conda-conda`](/api/graphcanon/graph?tool=conda-conda) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_