--- title: "code-server vs private-gpt" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/coder-code-server-vs-zylon-ai-private-gpt" tools: ["coder-code-server", "zylon-ai-private-gpt"] --- # code-server vs private-gpt *GraphCanon updated Jul 11, 2026* ## Verdict Pick code-server when code-server is primarily TypeScript; private-gpt is Python; pick private-gpt when private-gpt is primarily Python; code-server is TypeScript. [code-server](https://coder.com) reports 78k GitHub stars, 6.7k forks, and 157 open issues, last pushed Jul 11, 2026. [private-gpt](https://www.zylon.ai/private-gpt) has 57k stars, 7.6k forks, and 5 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [code-server's repository](https://github.com/coder/code-server) and [private-gpt's repository](https://github.com/zylon-ai/private-gpt). | | [code-server](/tools/coder-code-server.md) | [private-gpt](/tools/zylon-ai-private-gpt.md) | | --- | --- | --- | | Tagline | VS Code in the browser | Complete API layer for private AI applications on local models | | Stars | 78,364 | 57,329 | | Forks | 6,748 | 7,598 | | Open issues | 157 | 5 | | Language | TypeScript | Python | | Adopt for | - | PrivateGPT provides a comprehensive API layer to build private, on-premise AI applications leveraging local OpenAI-compatible inference servers. It offers features such as RAG, skills, tools, text-to-SQL functionalities, | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Developer Tools, Inference & Serving | Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [code-server](/tools/coder-code-server.md) | [private-gpt](/tools/zylon-ai-private-gpt.md) | | --- | --- | --- | | Open issues (now) | 157 | 5 | | Security scan | No criticals | No lockfile | | Full report | [trust report](/tools/coder-code-server/trust.md) | [trust report](/tools/zylon-ai-private-gpt/trust.md) | ## Decision facts: private-gpt - **Requirements:** Min 8 GB RAM; Requires Docker - **Adopt for:** PrivateGPT provides a comprehensive API layer to build private, on-premise AI applications leveraging local OpenAI-compatible inference servers. It offers features such as RAG, skills, tools, text-to-SQL functionalities, ## Choose when ### Choose code-server if… - code-server is primarily TypeScript; private-gpt is Python. - License: code-server is MIT, private-gpt is Apache-2.0. - Tags unique to code-server: dev-tools, ide, vscode-remote, remote-work. - Also covers Developer Tools. ### Choose private-gpt if… - private-gpt is primarily Python; code-server is TypeScript. - License: private-gpt is Apache-2.0, code-server is MIT. - Requirements: Min 8 GB RAM; Requires Docker. - Tags unique to private-gpt: text-to-sql, ai, on-premise, tools. - private-gpt ships Docker support for self-hosted deployment. - - You need to deploy and operationalize your own locally-run models without relying on cloud APIs. ## When NOT to use code-server - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ## When NOT to use private-gpt - - You prefer simplicity and ease-of-use over full control; PrivateGPT requires more setup than using direct cloud-based AI services. - - Your project does not involve running models locally but strictly relies on public cloud resources for inference server operations. - - You do not have the technical capability to run an OpenAI-compatible inference server or manage local infrastructure effectively. ## Common questions ### What is the difference between code-server and private-gpt? code-server: VS Code in the browser. private-gpt: Complete API layer for private AI applications on local models. See the comparison table for live GitHub stats and shared categories. ### When should I choose code-server over private-gpt? Choose code-server over private-gpt when code-server is primarily TypeScript; private-gpt is Python; License: code-server is MIT, private-gpt is Apache-2.0; Tags unique to code-server: dev-tools, ide, vscode-remote, remote-work; Also covers Developer Tools. ### When should I choose private-gpt over code-server? Choose private-gpt over code-server when private-gpt is primarily Python; code-server is TypeScript; License: private-gpt is Apache-2.0, code-server is MIT; Requirements: Min 8 GB RAM; Requires Docker; Tags unique to private-gpt: text-to-sql, ai, on-premise, tools; private-gpt ships Docker support for self-hosted deployment; - You need to deploy and operationalize your own locally-run models without relying on cloud APIs. ### When should I avoid code-server? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ### When should I avoid private-gpt? - You prefer simplicity and ease-of-use over full control; PrivateGPT requires more setup than using direct cloud-based AI services. - Your project does not involve running models locally but strictly relies on public cloud resources for inference server operations. - You do not have the technical capability to run an OpenAI-compatible inference server or manage local infrastructure effectively. ### Is code-server or private-gpt more popular on GitHub? code-server has more GitHub stars (78,364 vs 57,329). Stars measure visibility, not whether either tool fits your constraints. ### Are code-server and private-gpt open source? Yes - both are open-source projects on GitHub (code-server: MIT, private-gpt: Apache-2.0). ### Where can I find alternatives to code-server or private-gpt? GraphCanon lists graph-backed alternatives at [code-server alternatives](/tools/coder-code-server/alternatives) and [private-gpt alternatives](/tools/zylon-ai-private-gpt/alternatives) ([code-server markdown twin](/tools/coder-code-server/alternatives.md), [private-gpt markdown twin](/tools/zylon-ai-private-gpt/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/coder-code-server-vs-zylon-ai-private-gpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, code-server or private-gpt? code-server: Very active. private-gpt: Very active. 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 code-server and private-gpt? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [code-server trust report](/tools/coder-code-server/trust); [private-gpt trust report](/tools/zylon-ai-private-gpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=coder-code-server`](/api/graphcanon/graph?tool=coder-code-server) - 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/_