Sourcetable
sourcetable.comSourcetable combines spreadsheets and data analysis tools for creating financial models and working with datasets.
Looking for something like Quadratic? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 13 are open source.
Use Quadratic as an AI spreadsheet that connects to data and helps create explainable, shareable insights.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | Sourcetable | — | Not stated | Web |
| 2 | PySS3 | — | Yes | — |
| 3 | Apache Zeppelin | — | Not stated | Web |
| 4 | Aider LLM Leaderboards | — | Not stated | Web, Windows |
| 5 | INTIMA Companionship Benchmark Responses | — | Not stated | Web |
| 6 | Hex | — | Not stated | Web |
| 7 | Prophet | — | Not stated | Web |
| 8 | Hex Magic | — | Not stated | Web |
| 9 | CKAN | — | Not stated | — |
| 10 | Adala | — | Yes | — |
Sourcetable combines spreadsheets and data analysis tools for creating financial models and working with datasets.
PySS3 supports interpretable text classification with SS3 and visualization tools for explainable AI.
Enables data-driven, interactive data analytics and collaborative documents.
Aider LLM Leaderboards compares language models on code editing benchmarks.
This Hugging Face Space presents responses from AI companionship models for comparison.
Hex combines data notebooks, applications, and AI tools so teams can ask questions and build with organizational data.
Prophet provides forecasting procedures in R and Python that data scientists can tune.
Hex is an AI analytics platform for exploring and analyzing data through conversation grounded in governed context.
Open-source DMS (data management system) for powering data hubs and data portals.
Adala automates data labeling through an autonomous agent framework for organizing labeled datasets.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media.
pytorch tabular provides a unified framework for deep learning models on tabular data.
PyTorch Frame provides a library for applying deep learning models to tabular data.
tsfresh automatically extracts relevant features from time series data.
Snorkel helps generate training data programmatically through weak supervision.
VeritasGraph combines knowledge graphs and GraphRAG for multi hop reasoning and attributed retrieval over user data.
Apache Spark is a unified engine for large-scale data processing and analytics.
Disco’s discovery engine finds statistically validated patterns in tabular data, including feature interactions and subgroup effects.
ADAM analyzes genomics data with specialized file formats built on Apache Spark, Avro, and Parquet.
Modin scales Pandas data workflows by changing a single line of code in a project.
DB-GPT is an open-source agentic data assistant for AI and data products.
This TabGAN repository reviews research on applying GANs to generate tabular data.
H2O AutoML automatically generates features and selections, with a no code AutoML offering.
Gensim supports efficient topic modeling of text semantics with its Python library.
Alternatives are suggested from the purpose and features described in our listings. Different pages for the same product appear once. Read each description to check whether it fits your task. How we choose alternatives · Suggest an alternative