Find open-source science resources

Multi-type data labeling and annotation tool

A large RDF store built from American governmental data. This semantic space has a mixture of direct terms and subspaces.

Research agent system deeply integrated with Zotero supporting Agent Mode, skills, multi-model backends (OpenAI-compatible, Claude Code, WebChat, Codex), and MinerU PDF parsing for literature Q&A, summarization, figure inspection, and source comparison (1.3K+ stars, 2026)

A RDF vocabulary for OER content on the web.

Open-source, local-first, model-agnostic AI research workbench for reproducible scientific discovery; runs Python/R notebooks, searches the web, calls scientific data connectors, and produces inspectable reports, tables, and figures in a self-hosted desktop workspace (1.5K+ stars, Apache 2.0, 2026)

Curated, accuracy-first collection of benchmarks for evaluating LLMs on scientific reasoning and discovery across mathematics, physics, chemistry, materials science, biology, and agentic science (subinium, 29+ stars, MIT License, 2026)

AI-driven desktop workbench for computational materials science with an interactive 3D structure editor, natural-language CatBot assistant, visual DAG workflow engine, remote-cluster access, and HPC job submission for VASP, ORCA, CP2K, Quantum ESPRESSO, GPAW, DFTB+, SIESTA, and LAMMPS (172+ stars, AGPL-3.0, 2026)

Auto-generates clean, customizable academic CVs from open research data (OpenAlex, ORCID, Crossref, DataCite, Open Editors Plus). A single canonical CV object drives every output format (HTML, PDF, DOCX, LaTeX, Markdown); citations render through CSL; and the account holder is matched by persistent identifier (ORCID / OpenAlex ID) rather than name string. Free for individuals, open-source, and FAIR by design.

An interactive structure/property explorer for materials and molecules.

Visualization intermediate language that lets AI agents create expressive, polished charts from simple, human-editable specs, compiling the same input to 30+ chart types across Vega-Lite, ECharts, and Chart.js with an MCP server for agent integration (1.9K+ stars, MIT License, 2026)

Free, open-source desktop AI research assistant that runs locally and turns natural-language requests into real data analysis, literature search, figure generation, and manuscript review; ships with 149 scientific skills, 326 workflow templates, and 229 databases across genomics, proteomics, drug discovery, and materials science, plus a living lab notebook, 60+ scientific file previews, and LaTeX editing (K-Dense-AI, 908+ stars, MIT License, 2026)

Open-source AI workbench for scientific research that automates the full research loop — literature review, hypothesis generation, code writing, experiment execution, database querying, and report writing — with 290+ skills, specialized research agents, and a browser-based workspace (1453+ stars, Apache 2.0, 2026)

Local-first, open-source AI workbench for scientists — an open alternative to Claude Science (by ai4s-research, maintainers of this list; TypeScript, MIT, 2026)

Offline-first scientific writing workspace powered by Claude, integrating LaTeX, Python, and 100+ scientific skills with local execution, Zotero integration, and privacy-focused design (2026)

First system progressively surpassing human SOTA on frontier AI tasks (183.7%, 1.9%, 7.9% improvements), month-long autonomous discovery with 20,000+ GPU hours

Self-evolving AI research colleague built on OpenClaw with 285+ runtime-adaptive skills across 28+ disciplines, persistent cross-session research memory, and zero-hallucination citation protocols; agent autonomously writes new SKILL.md files based on research patterns without redeployment (828+ stars, MIT License, 2026)

Standalone browser-based Gene Ontology network viewer for exploring, filtering, searching, and exporting GO term and gene annotation neighborhoods from locally preprocessed GO OBO and GAF data.

2D interactive visualization in Jupyter.

Classic open-source plugin for document Q&A and summarization within Zotero

Web application for LLM-assisted manuscript review and annotation

Point and click, cross platform suite for analysing and visualizing next-generation sequencing datasets.

Browser-based viewer for Sanger sequencing chromatograms in AB1/ABIF and SCF format. Opens .ab1/.abi/.fsa files, shows raw and analysed traces, basecalls, quality values and the ABIF directory, and puts two reads side by side for comparison. Aligns a read against a reference sequence to highlight mismatches. Drag on a trace to select a base range, then copy it as FASTA, zoom to it or export just that region. Exports the read as FASTA, FASTQ or ABIF and the chromatogram as a high-resolution image. Open files are kept as local sessions, so a closed tab can be picked up where it was left. Runs entirely in the browser — files are never uploaded.

Browser-based tool to open almost any file that carries sequence — FASTA, FASTQ, GenBank, EMBL, Swiss-Prot, AB1/ABIF, SCF, Clustal, Stockholm, PHYLIP, NEXUS, MSF, PIR, MEGA, GFF3, SAM, BAM, GFA, PDB and ACE — see every sequence inside, pick the ones you want, and save them as FASTA. The format is detected from the file content, not from the extension, so unlabelled or misnamed files still open, and gzip-compressed files are unpacked in place. Turns any of them into FASTA without a command line and without an account. Runs entirely in the browser — files are never uploaded.

Browser-based viewer for GenBank and GenPept records — .gb, .gbk, .gbff, .gp and plain GenBank text. Renders an interactive linear and circular feature map, including circular plasmid maps, alongside the annotated source text and the nucleotide/protein sequence. Translates CDS features using the record's own genetic code and translation qualifiers, flags where the stored /translation disagrees with a plain translation, and adds optional computed layers: ORF prediction and restriction-site mapping. Filters features by type, handles multi-record files, and keeps open records as local sessions, so a closed tab can be picked up where it was left. Runs entirely in the browser — files are never uploaded.

edf2csv is a local command-line tool for converting EDF, EDF+, BDF, and BDF+ physiological recordings into CSV and JSON files. It exports signal values, channel information, annotations, and recording metadata while preserving original sampling rates, physical units, and discontinuities.