Find open-source science resources

A directory of tools, AI models, datasets, and research resources for biotech, bioinformatics, and other scientific fields. Aggregated from curated GitHub awesome-lists, HuggingFace, bio.tools, Bioconductor, and more.

15 of 6,358 resources

A tool that checks the clinical metadata quality (validity, completeness), the integrity between images and clinical metadata provided as well as their accuracy, the de-identification protocol applied, and existence of annotation together with the consistency between the images and the annotation files and informs the user on corrective actions prior to data upload.

Miniconda is a minimal Python distribution that includes the Conda package and environment manager plus only essential dependencies. It provides a lightweight way to create isolated environments and install Python packages as needed, without the large preinstalled package set of Anaconda.

ekokrati computes habitat connectivity metrics (PC, IIC, EC(PC), dPC and its decomposition into intra-patch, flux and connector components) for habitat patch networks. Users upload polygon data as GeoPackage or shapefile, set species-specific dispersal parameters, and receive patch importance scores and landscape-level indices. Designed for conservation planners, landscape ecologists and environmental consultants. No installation required.

Verbex is a private, on-device Voice-to-ELN iOS app for scientists. It helps researchers capture experiment notes by voice as work happens, organize those notes into scientific sections, and prepare clean, reviewable, ELN-ready scientific records.

Molecular Biology Tools is a free browser-based collection of molecular biology utilities for routine sequence analysis, primer design, Sanger sequencing primer planning, cloning setup, and wet-lab calculations. The site includes tools for PCR primer design, Sanger primer design and primer walking, primer binding checks, restriction site analysis, reverse complement generation, ORF and protein translation, codon optimization, ligation calculations, molarity calculations, dilution calculations, and multi-solute solution recipe preparation. The tools run in the browser and are intended for quick experimental planning, without requiring logins or uploading sequences to the server.

Thoa is a cloud bioinformatics platform. Write your Nextflow or Snakemake pipeline, point it at your data, and Thoa handles the rest: provisioning VMs (up to 12TB RAM), resolving dependencies, managing execution. No cloud expertise needed. Every job captures its full context:data, software versions, environment, machine specs, as a reproducibility artifact. Share it with a colleague and they can view or re-run the analysis without an account. Key features: AI debugger that fixes environment and dependency issues in real time. Pipeline tracking with per-step telemetry. if step 47 of 200 fails, re-run from there, not from scratch. One-click data sharing without registration. AI-assisted workflow creation from plain English. Free tier available. Starter $35/mo, Pro $109/mo, Team $480/mo. Zero-egress storage. Based in Zug, Switzerland. thoa.io​​​​​​​​​​​​​​​​

Conspecta is a browser-based research platform that brings microscopy image analysis, flow cytometry, molecular biology, sample tracking, and publication-ready figures into one connected workspace. It replaces the patchwork of disconnected tools most labs assemble, so a lab's data, samples, and results stay linked from experiment to figure with full traceability. Built for imaging-heavy and flow-heavy biology labs, new PIs, and early-stage biotech. Research-focused, not regulated or clinical. Free for individuals. Paid team plans add shared workspaces.

Deterministic, rule-based variant interpretation platform for clinical genetics laboratories. Automates ACMG/AMP 2015 classification using a Bayesian point-based framework (Tavtigian et al. 2018) with BayesDel ClinGen SVI-calibrated thresholds (Pejaver et al. 2022). Integrates 8 reference databases (gnomAD v4.1, ClinVar, dbNSFP 4.9c, SpliceAI, gnomAD Constraint, HPO, ClinGen, Ensembl VEP). Analyzes nuclear and mtDNA variants, structural and copy-number variants (SV/CNV), with trio/family and cohort analysis. Supports HPO-based phenotype matching, biomedical literature mining across 2M+ PubMed publications, and structured clinical report generation. AI assists in evidence synthesis but does not make classification decisions. EU-hosted on dedicated infrastructure in Helsinki, Finland (GDPR-compliant).

VigyanLLM is a sovereign, on-premises biomedical AI platform designed for computational biology. It provides autonomous primer design, evaluating melting temperature (Tm) and GC content; CRISPR guide RNA analysis with off-target scoring; BLAST sequence similarity searching; multiple sequence alignment (MSA); and GPU-accelerated molecular docking for drug discovery. Unlike cloud-based SaaS, VigyanLLM deploys via Docker to ensure institutional genomic data sovereignty

AI Agent for Biomedical Research

SciAgentKit is an MCP-native toolkit that connects AI agents to reproducible computational drug-discovery workflows. It integrates established tools for molecular analysis, protein-structure assessment, binding-site detection, molecular docking, molecular dynamics, trajectory analysis and scientific reporting.

Trace4MedicalImageCleaning™ is a tool aimed at automatically detecting and removing text in medical images, with a specific focus on 2D ultrasound and mammography studies.

NIM Studio is a local-first platform for neuroinformatics, BIDS organization, metadata generation, duplicate auditing, and scalable research data management.

Harmonize numerical values extracted from medical images (e.g. acquired with different models of image-acquisition system)

Supernova is a software package for de novo assembly from Chromium Linked-Reads that are made from a single whole-genome library from an individual DNA source. A key feature of Supernova is that it creates diploid assemblies, thus separately representing maternal and paternal chromosomes over very long distances. Almost all other methods instead merge homologous chromosomes into single incorrect 'consensus' sequences. Supernova is the only practical method for creating diploid assemblies of large genomes.