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Data and RAG · AI agent

Code Interpreter API: review, pricing, security and alternatives

Code Interpreter API is an open-source AI agent published by shroominic, in the data and rag family. Code Interpreter API combines LangChain with sandboxed Python execution to analyze datasets and process files from user requests. Its repository has 3,844 stars and its last commit is from November 7, 2024.

Open sourceSelf-hostableInactive for over a yearModerate risk

What Code Interpreter API does

Code Interpreter API belongs to the data and rag family: agents that query databases and company documents to answer questions or produce analyses. On our grid it ranks #15 of the 15 projects of this family listed in the directory.

You use it from: developer SDK. Usable models: GPT (OpenAI). It can run on your own machine or server.

Who is Code Interpreter API for?

It is for teams that want an AI to answer from their own documents or databases. Typical tasks people give it:

  • query internal documentation in plain language
  • ask a database questions without SQL
  • index and summarise large file collections

It is a good candidate if your data must stay on your machines.

Access and human control

According to its documentation, Code Interpreter API can:

  • read and edit files
  • call online services and APIs

We could not establish whether it asks for human approval before sensitive actions: test it first on an unimportant account or folder.

Run commands in a terminalRun commands in a terminal : 7 %7 %Read and edit filesRead and edit files : 20 %20 %Call online services and APIsCall online services and APIs : 7 %7 %
Share of the 15 agents in the family that have each access, according to their documentation. In orange, Code Interpreter API's access.

Code Interpreter API pricing

The code is free, under the MIT licence.

Getting started with Code Interpreter API

  1. Install it: the project ships as a Python package (install with pip or uv). The exact command is in the repository README.
  2. Create an API key with the model provider and put it in an environment variable, never in a shared or versioned file.
  3. Give it a first playground with nothing at stake: a test folder, a secondary account or a throwaway project. Only open your real accounts once you have seen how it behaves.
  4. Give it a short, checkable task, review the result and its action log, then raise the difficulty step by step.

Security: risk level

Give it read-only access and check generated queries before any data change.

Points found for Code Interpreter API:

  • Outside content: it reads web pages or API responses, which may contain booby-trapped instructions (prompt injection).
  • Maintenance: no commit for 24 months, flaws are no longer fixed.

Three habits: least privilege (minimal rights, dedicated keys), human approval for irreversible actions, a sandbox for code execution. The AI agent security check reviews your setup in a few minutes.

Project activity and releases

Created on July 10, 2023, the shroominic/codeinterpreter-api repository has 3,844 stars, 385 forks and 66 open issues, with 310 commits in total. Last change 24 months ago.

Over the last 52 weeks: 0 commits, an average of 0 per week.

Nov 2, : 0 · Nov 2, 2025Nov 2,Nov 9, : 0 · Nov 9, 2025Nov 16, : 0 · Nov 16, 2025Nov 23, : 0 · Nov 23, 2025Nov 30, : 0 · Nov 30, 2025Dec 7, : 0 · Dec 7, 2025Dec 14, : 0 · Dec 14, 2025Dec 21, : 0 · Dec 21, 2025Dec 28, : 0 · Dec 28, 2025Dec 28,Jan 4, : 0 · Jan 4, 2026Jan 11, : 0 · Jan 11, 2026Jan 18, : 0 · Jan 18, 2026Jan 25, : 0 · Jan 25, 2026Feb 1, : 0 · Feb 1, 2026Feb 8, : 0 · Feb 8, 2026Feb 15, : 0 · Feb 15, 2026Feb 22, : 0 · Feb 22, 2026Feb 22,Mar 1, : 0 · Mar 1, 2026Mar 8, : 0 · Mar 8, 2026Mar 15, : 0 · Mar 15, 2026Mar 22, : 0 · Mar 22, 2026Mar 29, : 0 · Mar 29, 2026Apr 5, : 0 · Apr 5, 2026Apr 12, : 0 · Apr 12, 2026Apr 19, : 0 · Apr 19, 2026Apr 19,Apr 26, : 0 · Apr 26, 2026May 3, : 0 · May 3, 2026May 10, : 0 · May 10, 2026May 17, : 0 · May 17, 2026May 24, : 0 · May 24, 2026May 31, : 0 · May 31, 2026Jun 7, : 0 · Jun 7, 2026Jun 14, : 0 · Jun 14, 2026Jun 14,Jun 21, : 0 · Jun 21, 2026Jun 28, : 0 · Jun 28, 2026Jul 5, : 0 · Jul 5, 2026Jul 12, : 0 · Jul 12, 2026Jul 19, : 0 · Jul 19, 2026Jul 26, : 0 · Jul 26, 2026Aug 2, : 0 · Aug 2, 2026Aug 9, : 0 · Aug 9, 2026Aug 9,Aug 16, : 0 · Aug 16, 2026Aug 23, : 0 · Aug 23, 2026Aug 30, : 0 · Aug 30, 2026Sep 6, : 0 · Sep 6, 2026Sep 13, : 0 · Sep 13, 2026Sep 20, : 0 · Sep 20, 2026Sep 27, : 0 · Sep 27, 2026Oct 4, : 0 · Oct 4, 2026Oct 4,Oct 11, : 0 · Oct 11, 2026Oct 18, : 0 · Oct 18, 2026Oct 25, : 0 · Oct 25, 2026Oct 25,
Commits per week on the main repository, last 52 weeks (GitHub API, checked October 25, 2026).

10 releases in total; 0 in the last twelve months. Latest release: v0.1.20, on November 7, 2024.

beta · Jul 14, 2023betaJul 14, 2023v0.0.10 · Aug 5, 2023v0.0.11 · Aug 9, 2023v0.0.12 · Aug 22, 2023v0.0.13 · Sep 29, 2023v0.0.14 · Oct 10, 2023v0.1.15 · Dec 12, 2023v0.1.16 · Apr 4, 2024v0.1.17 · Apr 10, 2024v0.1.20 · Nov 7, 2024v0.1.20Nov 7, 2024
The latest 10 releases published on GitHub (hover a point for details).

Code Interpreter API vs other data and rag

GitHub stars of the best-rated open-source projects in the data and rag family. Stars measure attention, not quality: a heavily promoted project collects them fast, a specialised tool will have few.

RAGFlowRAGFlow : 92.8K92.8KLlamaIndexLlamaIndex : 52.6K52.6KMaxKBMaxKB : 23K23KPageIndexPageIndex : 39.6K39.6Ktxtaitxtai : 13K13KWeKnoraWeKnora : 35.3K35.3KYuxiYuxi : 7.5K7.5KDeepSearcherDeepSearcher : 8.3K8.3KCode Interpreter APICode Interpreter API : 3.8K3.8K
Log scale; Code Interpreter API in orange. Checked October 25, 2026.

Code Interpreter API and other data and rag at a glance

The 7 best-ranked agents in the same family, 7 of them open source. The score out of 100 only applies to open-source projects; for proprietary services we show the published entry price. A dash marks information the documentation does not state.

Quick comparison: data and rag
AgentModelScoreStars or entry priceSelf-hostableHuman approval
Code Interpreter APIopen source393.8K ★yes–
RAGFlowopen source9192.8K ★yes–
LlamaIndexopen source8552.6K ★yes–
MaxKBopen source8323K ★yes–
PageIndexopen source7939.6K ★yes–
txtaiopen source7813K ★yes–
WeKnoraopen source7635.3K ★yes–
Yuxiopen source697.5K ★yes–

How we rated it

Score: 39/100, computed only from public, verifiable data, with no subjective testing or partnership:

  • Adoption 19/40: 3,844 stars on a log scale (40 points from about 200,000).
  • Activity 0/30: last commit 24 months ago, 0 releases in six months, 0 commits in a year.
  • Framework 20/30: licence, default human approval, self-hosting, model choice and documentation site.

The score does not say whether the agent will succeed at your tasks: it measures how solid the project is. The full grid is on the method page.

Verdict

Code Interpreter API is a project to watch: compare it with the alternatives before adopting it.

Strengths

  • Can run on your side: data under control
  • Permissive licence (MIT)

Limitations

  • No commit for 24 months
  • Tied to a single model provider (GPT (OpenAI))

Avoid if…

  • Production use without reviewing the code

Frequently asked questions

Is Code Interpreter API free?

The software is free (MIT licence). You still pay for the model calls, unless you use a local model.

Is Code Interpreter API safe?

Our risk level: mid. Points found: outside content and maintenance. Give it minimum rights and approve irreversible actions.

Which models does Code Interpreter API use?

According to its documentation: GPT (OpenAI).

Can Code Interpreter API be installed on your own server?

Yes, from the shroominic/codeinterpreter-api repository. Data then stays with you, but security and updates are your job.

What are the alternatives to Code Interpreter API?

In the same family: RAGFlow, LlamaIndex, MaxKB, and PageIndex.

Code Interpreter API or RAGFlow: what is the difference?

Both belong to the data and rag family. Code Interpreter API has 3.8K stars against 92.8K for RAGFlow. The right choice mostly depends on the access you are willing to give it.

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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score