Open source alternatives to datamol
24 open source AI Skills apps to use instead, best rated first.
Top picks
- G

github-ops
Launchgithub-ops is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It manages a GitHub repository with a focus on community health, CI reliability and the experience of contributors. It covers triaging issues by classify
Open source
- O

opensource-pipeline
Launchopensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st
Open source
- A

andrej-karpathy-skills
Launchandrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis
Open source
- M

microsoft/markitdown
Launchmarkitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve
Open source
- O

od-contribute
Launchod-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the
Open source
- G

github-deep-research
Launchgithub-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive
Open source
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modelcontextprotocol/server-memory
Knowledge graph-based persistent memory for maintaining context

netdata/netdata#Netdata
Discovery, exploration, reporting and root cause analysis over Netdata metrics

Learn Claude Code
by shareAI-lab - A really interesting analysis of how coding agents like Claude
About datamol

datamol
Pythonic wrapper around RDKit with simplified interface and sensible defaults
datamol is an agent skill for cheminformatics with datamol, a Pythonic wrapper around RDKit that offers a simpler interface and sensible defaults. It is preferred for standard drug discovery tasks, including SMILES parsing, standardisation and molecular operations. Its molecular objects are native RDKit molecule objects, so they work with the wider RDKit ecosystem. The skill also gives efficient parallelisation and modern input and output. The verified target is datamol 0.13.0, released on 9 September 2026, checked on Python 3.13 with RDKit 2026.03.6. Python 3.11 or newer and RDKit 2024.09 or newer are required. The 0.13 distribution includes runtime dependencies for SELFIES, visualisation, cloud, Excel and Parquet. The skill advises pinning the environment, because RDKit upgrades can change canonical representations and retained conformers. For that reason it suggests comparing chemical invariants rather than a fixed conformer count or an exact canonical string. Current API examples and verification limits are recorded in a review file. It is part of the k-dense-ai scientific agent skills repository on GitHub, which has about 49,600 stars.
- Price
- Free
- Made by
- k-dense-ai
- Category
- AI Skills
- Website
- github.com/k-dense-ai/scientific-agent-skills/datamol











