Source: https://seerepo.com/compare/apache/superset/vs/semantica-agi/semantica
Markdown source: https://seerepo.com/compare/apache/superset/vs/semantica-agi/semantica.md
Description: superset and semantica share 55 technologies: google-cloud-core, psycopg2-binary, Celery, pyarrow, Redis, Postgres, kombu, Google, AIOHTTP, uvicorn, starlette, anyio, React, pyzmq, cycler, fonttools, contourpy, matplotlib, prompt-toolkit, Rich, joserfc, cryptography, authlib, tiktoken, defusedxml, markdown-it-py, mdurl, jinja2, markupsafe, openpyxl, pillow, xlsxwriter, annotated-types, jsonschema-specifications, msgspec, referencing, rfc3339-validator, jsonschema, Pydantic, pydantic-core, OpenTelemetry, boto3, botocore, psutil, react-markdown, remark-gfm, soupsieve, tinycss2, ipywidgets, matplotlib-inline, argon2-cffi, beautifulsoup4, bleach, prometheus-client, and python-json-logger. Both are written in Python.

# superset vs semantica

superset and semantica share 55 technologies: google-cloud-core, psycopg2-binary, Celery, pyarrow, Redis, Postgres, kombu, Google, AIOHTTP, uvicorn, starlette, anyio, React, pyzmq, cycler, fonttools, contourpy, matplotlib, prompt-toolkit, Rich, joserfc, cryptography, authlib, tiktoken, defusedxml, markdown-it-py, mdurl, jinja2, markupsafe, openpyxl, pillow, xlsxwriter, annotated-types, jsonschema-specifications, msgspec, referencing, rfc3339-validator, jsonschema, Pydantic, pydantic-core, OpenTelemetry, boto3, botocore, psutil, react-markdown, remark-gfm, soupsieve, tinycss2, ipywidgets, matplotlib-inline, argon2-cffi, beautifulsoup4, bleach, prometheus-client, and python-json-logger. Both are written in Python.

- [apache/superset](https://seerepo.com/r/apache/superset): Apache Superset is a Data Visualization and Data Exploration Platform
- [semantica-agi/semantica](https://seerepo.com/r/semantica-agi/semantica): Graph-Native Infrastructure for Context and Accountable AI Systems

## What they share and what sets them apart

- In common: google-cloud-core, psycopg2-binary, Celery, pyarrow, Redis, Postgres, kombu, Google, AIOHTTP, uvicorn, starlette, anyio, React, pyzmq, cycler, fonttools, contourpy, matplotlib, prompt-toolkit, Rich, joserfc, cryptography, authlib, tiktoken, defusedxml, markdown-it-py, mdurl, jinja2, markupsafe, openpyxl, pillow, xlsxwriter, annotated-types, jsonschema-specifications, msgspec, referencing, rfc3339-validator, jsonschema, Pydantic, pydantic-core, OpenTelemetry, boto3, botocore, psutil, react-markdown, remark-gfm, soupsieve, tinycss2, ipywidgets, matplotlib-inline, argon2-cffi, beautifulsoup4, bleach, prometheus-client, python-json-logger
- Only in superset: Flask, oracledb, pymssql, MySQL, clickhouse-connect, MongoDB, pandas-gbq, pymysql, werkzeug, fastmcp, flask-cors, Express, SQLAlchemy, alembic, flask-migrate, bcrypt, google-auth-oauthlib, itsdangerous, oauthlib, flask-login, pyjwt, MCP, mako, pyxlsb, xlrd, nh3, markdown, beartype, email-validator, docker, Gunicorn, jwt-decode, emotion, fontsource, antd, Ant Design, @emotion/react, classnames, react-resize-detector, ag-grid-community, react-ace, ace-builds, d3-scale, re-resizable, react-draggable, ag-grid-react, react-error-boundary, react-syntax-highlighter, react-window, @braintree/sanitize-url, dompurify, handlebars, markdown-to-jsx, rehype-raw, rehype-sanitize, xss, D3, echarts, Zod, prop-types, MapLibre, supercluster, deck.gl, jsonwebtoken, hot-shots, winston, morgan
- Only in semantica: FastAPI, aiosqlite, amqp, async-lru, gitdb, kafka-python, pgvector, psycopg, psycopg-binary, psycopg-pool, s3transfer, smart-open, weaviate-client, Neo4j, azure-storage-blob, falkordb, pika, pinecone, pymilvus, SQLite, sqlite-vec, OpenAI, Google Cloud Storage, Kafka, Qdrant, jupyter-core, jupyterlab-server, tornado, Vite, jupyterlab-pygments, jupyter-server-terminals, jupyterlab-widgets, pyvis, questionary, seaborn, widgetsnbextension, Plotly, argon2-cffi-bindings, accelerate, agnoctl, cuda-bindings, hdbscan, langchain-protocol, langsmith, librosa, llvmlite, onnxruntime, opencv-python, pynndescent, rapidocr, safetensors, spaCy, spacy-legacy, thinc, tokenizers, torchvision, triton, typesafe-sdk, umap-learn, sentence-transformers, agno, fastembed, google-adk, faiss-cpu, LangChain, scikit-learn, transformers, gensim, groq, instructor, langdetect, litellm, Ollama, torch, doclang, docling-ibm-models, docling-parse, docling-slim, et-xmlfile, filetype, latex2mathml, mail-parser, Marko, mistune, nbconvert, nbformat, olefile, pandocfilters, pdfminer-six, pylatexenc, pypdfium2, python-oxmsg, webencodings, lxml, docling, pdfplumber, python-docx, python-pptx, fastjsonschema, fqdn, rfc3986-validator, rfc3987-syntax, validators, docling-core, azure-core, colorlog, loguru, opentelemetry-instrumentation, opentelemetry-semantic-conventions, spacy-loggers, structlog, sigma, @monaco-editor/react, react-dropzone, xyflow, graphology-layout-forceatlas2, react-arborist, vis-timeline, Lucide

## Side by side

| | superset | semantica |
|---|---|---|
| Size | 1,918,985 lines written, 3,663 code files | 467,678 lines written, 536 code files |
| Who writes it | 9.2% of its commits signed by AI. With Claude Code, GitHub Copilot, Cursor, Devin, and Codex | 10.1% of its commits signed by AI. With Claude Code, GitHub Copilot, Codex, and Cursor |
| Activity | Last push November 4, 2026, 24,012 commits, 75,409 stars | Last push November 8, 2026, 2,499 commits, 14,477 stars |
| Tests | 3,041 test files. 61.8% of its code files have a test that imports them | 556 test files. 72.6% 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, superset or semantica?

superset, with 1,918,985 lines written; semantica has 467,678.

The proof: [apache/superset's code at commit fcc13d4](https://github.com/apache/superset/tree/fcc13d4a301e81e5f5f2d82ba021e078b87187e7)

### Which has more GitHub stars, superset or semantica?

superset, with 75,409 stars; semantica has 14,477.

The proof: [apache/superset on GitHub](https://github.com/apache/superset)

### Which has more tests, superset or semantica?

superset, with 3,041 test files; semantica has 556.

The proof: [apache/superset's code at commit fcc13d4](https://github.com/apache/superset/tree/fcc13d4a301e81e5f5f2d82ba021e078b87187e7)

### Which was updated more recently, superset or semantica?

semantica: its last push was on November 8, 2026, and superset's on November 4, 2026.

The proof: [semantica-agi/semantica's commits on GitHub](https://github.com/semantica-agi/semantica/commits)

### Which has more commits signed by AI, superset or semantica?

semantica: an AI signed 10.1% of its commits, with Claude Code, GitHub Copilot, Codex, and Cursor; in superset, 9.2%.

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

## Sources

- apache/superset: Read on November 4, 2026, at commit fcc13d4 (https://github.com/apache/superset/tree/fcc13d4a301e81e5f5f2d82ba021e078b87187e7)
- semantica-agi/semantica: Read on November 9, 2026, at commit 39cf721 (https://github.com/semantica-agi/semantica/tree/39cf7216d2326b012436efebf8a227e82f37dd3b)

## 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.