Open source alternatives to deepchem
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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About deepchem
deepchem
Builds molecular property prediction and MoleculeNet workflows
deepchem is an agent skill for building molecular property prediction and MoleculeNet workflows with DeepChem. It covers SMILES and graph featurisation, scaffold or grouped holdouts that keep related molecules together, masked labels, MoleculeNet benchmarks, and explicitly configured encoder transfer. It also covers DeepChem's materials and sequence adapters, as long as their data and model contracts are met. The skill targets DeepChem 2.8.0, which is still the stable PyPI release at the time of its review. Nightly 2.8.1 builds have additional APIs and different constraints, so the skill advises not to mix the latest documentation with a stable installation. The tested CPU stack and the limitations of optional backends are recorded in a review file. Use it when you are predicting molecular properties from structures, running standard benchmarks, or setting up a model that must be evaluated on held-out chemical groups rather than random splits. It is part of the k-dense-ai scientific agent skills repository on GitHub, which has about 49,600 stars. The listing shows it as free, and it has about 1,800 installs.
- Price
- Free
- Made by
- k-dense-ai
- Category
- AI Skills
- Website
- github.com/k-dense-ai/scientific-agent-skills/deepchem