Source: https://seerepo.com/compare/run-llama/llama_index/vs/Tracer-Cloud/opensre
Markdown source: https://seerepo.com/compare/run-llama/llama_index/vs/Tracer-Cloud/opensre.md
Description: llama_index and opensre share 17 technologies: pymongo, Redis, clickhouse-connect, pymysql, AIOHTTP, prompt-toolkit, Rich, Google, cryptography, pyjwt, OpenAI, MCP, litellm, Pydantic, psutil, boto3, and OpenTelemetry. Both are written in Python.

# llama_index vs opensre

llama_index and opensre share 17 technologies: pymongo, Redis, clickhouse-connect, pymysql, AIOHTTP, prompt-toolkit, Rich, Google, cryptography, pyjwt, OpenAI, MCP, litellm, Pydantic, psutil, boto3, and OpenTelemetry. Both are written in Python.

- [run-llama/llama_index](https://seerepo.com/r/run-llama/llama_index): LlamaIndex is the document processing platform for AI
- [Tracer-Cloud/opensre](https://seerepo.com/r/Tracer-Cloud/opensre): The open-source agent for CI/CD reliability.

## What they share and what sets them apart

- In common: pymongo, Redis, clickhouse-connect, pymysql, AIOHTTP, prompt-toolkit, Rich, Google, cryptography, pyjwt, OpenAI, MCP, litellm, Pydantic, psutil, boto3, OpenTelemetry
- Only in llama_index: starlette, aiomysql, aiosqlite, async-lru, asyncpg, azure-cosmos, azure-data-tables, azure-search-documents, azure-storage-blob, ibm-db, nebula3-python, oss2, pgml, pgvecto-rs, pgvector, pickleshare, psycopg, psycopg2-binary, pyathena, pydrive, pylance, python-arango, pyvespa, pyzmq, snowflake-sqlalchemy, tantivy, weaviate-client, Neo4j, aioboto3, pyarrow, lancedb, oracledb, DuckDB, pymilvus, pysolr, SQLite, tablestore, aperturedb, astrapy, chromadb, dashvector, falkordb, jaguardb-http-client, MySQL, pinecone, couchdb3, gcsfs, opendal, pyairtable, pyiceberg, pymochow, pyobvector, s3fs, tcvectordb, typesense, ElevenLabs, anyio, graphql-core, jupyter-core, jupyterlab-server, tornado, Ray, jupyterlab-pygments, soupsieve, tinycss2, ipywidgets, jupyter-server-terminals, jupyterlab-widgets, matplotlib-inline, widgetsnbextension, matplotlib, SQLAlchemy, argon2-cffi, argon2-cffi-bindings, azure-identity, google-auth-httplib2, google-auth-oauthlib, msal, argilla, azure-ai-agents, azure-ai-inference, azure-ai-projects, contextual-client, diff-cover, einops, firecrawl-py, friendli-client, guardrails-ai, llama-cpp-python, llama-index-core, llama-index-embeddings-dashscope, llama-index-embeddings-huggingface, llama-index-embeddings-openai, llama-index-llms-anthropic, llama-index-llms-azure-openai, llama-index-llms-huggingface, llama-index-llms-llama-cpp, llama-index-llms-openai, llama-index-llms-openai-like, llama-index-node-parser-dashscope, llama-index-program-guidance, llama-index-readers-dashscope, llama-index-readers-database, llama-index-readers-remote, llama-index-readers-upstage, llama-index-readers-web, llama-index-response-synthesizers-google, llama-index-utils-azure, llama-index-utils-huggingface, llama-index-utils-qianfan, llama-index-vector-stores-google, llama-index-workflows, mem0ai, ms-swift, open-clip-torch, opencv-python, openinference-instrumentation-llama-index, openvino-tokenizers, PaddlePaddle, portkey-ai, reka-api, tavily-python, torch, llama-index-instrumentation, transformers, ibm-watsonx-ai, cohere, LangChain, tiktoken, sentence-transformers, dashscope, fastembed, flagembedding, llama-cloud, nltk, optimum-intel, sentencepiece, ai21, aleph-alpha-client, chonkie, gigachat, guidance, igptai, konko, mixedbread, ModelScope, octoai, Ollama, openvino, openvino-genai, premai, scikit-learn, tritonclient, vLLM, voyageai, zep-python, zhipuai, agent-search, aimon, argilla-llama-index, assemblyai, bm25s, browserbase, cleanlab-tlm, cognee, colpali-engine, datasets, exa-py, flashrank, hnswlib, honeyhive, instructorembedding, isaacus, langfuse, llmlingua, llmsherpa, marvin, mlx, mlx-lm, nomic, notdiamond, optimum, optimum-habana, paddleocr, peft, presidio-analyzer, presidio-anonymizer, promptlayer, psychicapi, pydi-client, rank-llm, span-marker, superlinked, tokenizers, uptrain, vectorize-client, videodb, beautifulsoup4, bleach, camelot-py, ghostscript, llama-index-readers-file, llama-index-readers-youtube-transcript, maincontentextractor, marker-pdf, markupsafe, mistune, nbformat, newspaper3k, nougat-ocr, pandocfilters, webencodings, xlrd, pillow, bs4, html2text, unstructured, defusedxml, jinja2, lxml, pymupdf, filetype, bagel, docx2txt, markdownify, olefile, pytesseract, dgml-utils, docling, layoutir, llama-parse, lxml-html-clean, markitdown, nbconvert, pdf2image, pdfplumber, pypdf, pypdf2, striprtf, svglib, tika, tinytag, youtube-transcript-api, fastjsonschema, fqdn, jsonschema-specifications, marshmallow, referencing, rfc3339-validator, rfc3986-validator, docling-core, annotated-types, jsonschema, pydantic-core, opentelemetry-api, opentelemetry-semantic-conventions, prometheus-client, python-json-logger, docker, Alibaba Cloud, oci
- Only in opensre: FastAPI, Anthropic, Sentry, uvicorn, questionary, opentelemetry-instrumentation, opentelemetry-instrumentation-botocore, opentelemetry-instrumentation-requests, kubernetes

## Side by side

| | llama_index | opensre |
|---|---|---|
| Size | 473,236 lines written, 2,055 code files | 630,933 lines written, 2,048 code files |
| Who writes it | 0.2% of its commits signed by AI. With Claude Code, Cursor, and GitHub Copilot | 16.9% of its commits signed by AI. With Cursor, Claude Code, GitHub Copilot, Codex, Factory, OpenHands, and Qwen Code |
| Activity | Last push November 8, 2026, 7,964 commits, 52,863 stars | Last push November 10, 2026, 4,241 commits, 12,803 stars |
| Tests | 1,607 test files. 46.5% of its code files have a test that imports them | 1,553 test files. 71.6% of its code files have a test that imports them |

- Size: Lines written by people and agents, without generated ones; code files, without tests.
- Who writes it: A commit counts as AI's when it carries its signature: a Co-Authored-By line, its author name or the merge of its branch.
- Activity: From GitHub and its history, on the day SeeRepo read it.
- Tests: The files that test the code, and the share of code files a test imports.

## Frequently asked questions

### Which is bigger, llama_index or opensre?

opensre, with 630,933 lines written; llama_index has 473,236.

The proof: [Tracer-Cloud/opensre's code at commit 1f817d2](https://github.com/Tracer-Cloud/opensre/tree/1f817d29a7773ed3b0c19454951c1d5af6d6a553)

### Which has more GitHub stars, llama_index or opensre?

llama_index, with 52,863 stars; opensre has 12,803.

The proof: [run-llama/llama_index on GitHub](https://github.com/run-llama/llama_index)

### Which has more tests, llama_index or opensre?

llama_index, with 1,607 test files; opensre has 1,553.

The proof: [run-llama/llama_index's code at commit fe107aa](https://github.com/run-llama/llama_index/tree/fe107aab65e46d1d07c80663182691970417bbd9)

### Which was updated more recently, llama_index or opensre?

opensre: its last push was on November 10, 2026, and llama_index's on November 8, 2026.

The proof: [Tracer-Cloud/opensre's commits on GitHub](https://github.com/Tracer-Cloud/opensre/commits)

### Which has more commits signed by AI, llama_index or opensre?

opensre: an AI signed 16.9% of its commits, with Cursor, Claude Code, GitHub Copilot, Codex, Factory, OpenHands, and Qwen Code; in llama_index, 0.2%.

The proof: [the commits each tool signed in Tracer-Cloud/opensre](https://seerepo.com/r/Tracer-Cloud/opensre/ai)

## Sources

- run-llama/llama_index: Read on November 10, 2026, at commit fe107aa (https://github.com/run-llama/llama_index/tree/fe107aab65e46d1d07c80663182691970417bbd9)
- Tracer-Cloud/opensre: Read on November 10, 2026, at commit 1f817d2 (https://github.com/Tracer-Cloud/opensre/tree/1f817d29a7773ed3b0c19454951c1d5af6d6a553)

## What is your repo built with?

Any public repo, with no account: https://seerepo.com/r/owner/repo/built, with the owner and name it has on GitHub.