We recommend you to use this Directory on Desktop.
This resource is intended for:
- Systematic review researchers and students
- Meta-analysis practitioners
- Medical and public health researchers
- Librarians and methodologists
- Open science advocates
- Research software developers
The directory includes 288 open source non properietary tools / softwares available up to early 2026, covering all stages of the evidence synthesis pipeline.
Evidence synthesis is the systematic process of identifying, evaluating, and integrating all available evidence relevant to a research question to inform scientific conclusions, policy, and practice.
Core components include:
- Systematic searching
- Screening and study selection
- Critical appraisal
- Data extraction
- Risk of Bias assessment
- Quantitative or qualitative synthesis
The goal is to produce transparent, reproducible, and generalizable findings.
The directory covers the full workflow:
- Search strategy development
- Citation chasing and retrieval
- Reference management and deduplication
- AI-assisted screening and prioritization
- Data extraction and PDF processing
- Risk of Bias assessment and visualization
- Statistical analysis and meta-analysis
- Evidence mapping and bibliometrics
- Automation, scripting, and machine learning
- Qualitative synthesis tools
Tools range from full platforms to lightweight libraries and utilities.
Evidence synthesis underpins evidence-based medicine, public health, environmental science, and policy decision-making. However, the current software ecosystem presents several challenges:
- Many widely used tools are proprietary or closed-source
- Existing directories often mix software with checklists, guidance documents, or non-software resources
- Source code availability and licensing are unclear or inconsistent
- Limited transparency restricts reproducibility and independent verification
- Researchers and developers struggle to identify reusable open implementations
This project addresses these gaps by providing:
- A strict open-source-only directory
- Verification of public repositories and licenses
- A software-focused resource (no mixed content)
- A discovery platform for reusable research software
- Support for Open Science and FAIR principles
- A foundation for developing interoperable and transparent evidence synthesis tools
In contrast to existing resources such as the Systematic Review Toolbox (SR Toolbox), which includes proprietary and mixed-content entries and has limited transparency regarding source code and updates, this repository is designed specifically to support reproducibility, transparency, and research software reuse.
Only tools meeting all criteria are included:
Released under a recognized license (MIT, GPL, Apache, etc.)
Source code must be publicly available (GitHub, GitLab, Bitbucke, SourceForge)
- No closed-source components
- No mandatory commercial dependencies
- No institutional license requirements
Documentation must allow reuse, modification, and community development.
Relevant to systematic reviews, evidence synthesis, meta-analysis, or closely related workflows.
Excluded examples: EndNote, Covidence, DistillerSR, NVivo, Rayyan, Stata, SAS, and similar proprietary or freemium tools.
Software or tools whose source code is hosted exclusively on university or institutional websites are excluded due to concerns regarding limited accessibility, long-term stability, and the lack of sustained public availability.
Some open-source tools interact with external databases, platforms, or APIs (e.g., literature databases or screening systems). These tools are eligible for inclusion if the software itself is fully open source, has a public code repository, and can be reused or extended.
Tools that rely on external APIs are acceptable if:
- The software uses an OSI-approved open-source license.
- The full source code is publicly available (e.g., GitHub, GitLab).
- The tool’s core functionality is transparent and reusable.
- The external service is used only for data access or integration, not hidden proprietary logic.
Such tools are documented in the directory as open-source integrations with external research infrastructure.
This project prioritizes open-source tools to ensure:
- Transparency – inspect underlying algorithms
- Reproducibility – avoid black-box systems
- Sustainability – independence from commercial vendors
- Innovation – fork, modify, and build upon tools 🚀
- Equity – global access without paywalls
The website is intentionally implemented using pure HTML.
This ensures:
- No framework or dependency lock-in
- Long-term stability and preservation
- Easy editing using any text editor
- Contributions from users with little or no coding experience
This design prioritizes accessibility, sustainability, and long-term community maintenance.
Existing directories such as the Systematic Review Toolbox (SR Toolbox) have several limitations:
- Inclusion of proprietary and commercial tools
- Mixing of software with checklists and guidance documents
- Source code availability often unclear
- Licensing not systematically verified
- Limited update transparency
- Underlying platform source code not publicly available
Initially, the author attempted to update newly identified tools within existing platforms. However, the absence of publicly accessible source code limited transparency, extensibility, and community contribution.
- Strict open-source-only policy
- Verified public repositories and licenses
- Software-only focus
- Pure HTML for easy maintenance
- Designed to support research software discovery and reuse
- Enables developers to inspect, extend, and build upon existing implementations
This makes the project uniquely aligned with Open Science and research software sustainability principles.
This repository helps developers:
- Discover fully open implementations
- Inspect real-world evidence synthesis codebases
- Reuse and extend existing tools
- Develop interoperable and transparent research software
This directory aims to be a comprehensive community resource.
- Pull Request (preferred) evidencesynthesis-tools.github.io/pulls
- GitHub Issue evidencesynthesis-tools.github.io/issues
- GitHub Discussions evidencesynthesis-tools/discussions
- Email to the maintainer V.S.
- Open-source license
- Public repository
- No closed-source components
- No paid or institutional restrictions
- Relevant to evidence synthesis
- Adequate documentation
Not accepted
- Free but closed-source tools
- Freemium software
- Commercial or license-restricted platforms
Here is a more formal and professional version:
This project was conducted independently by the author.
Artificial intelligence tools were used to support aspects of interface refinement and presentation. Specifically, GLM-4.5V-Flash (open access) was utilized to improve layout structure and enhance visual clarity. All conceptual development, inclusion criteria, verification of repositories and licenses, tool selection, curation decisions, and overall project design were performed manually solely by the author. Please check out Archive for more info: https://doi.org/10.5281/zenodo.18692063, evidencesynthesis-tools/backwork.
The initial systematic search for eligible tools and software was conducted in October 2025, followed by continued independent searches and verification to ensure coverage of tools available up to February 2026.
The author welcomes future contributors and collaborators to support the long-term maintenance and development of this directory. In the absence of external contributions, the author intends to perform an updated search for newly eligible tools at least once annually to maintain accuracy, completeness, and relevance.
If you use this directory or related tools, please cite:
Sahu, V. (2026). Evidence Synthesis Tools: A curated directory of strictly open-source software / tools for Evidence Synthesis. (Version 3.0). Zenodo. https://doi.org/10.5281/zenodo.18681868
Individual tools retain their original citations.
© 2026 Vihaan Sahu Licensed under the Apache License 2.0
- GitHub: Issues / Pull Requests / Discussions
- Email: pteroisvolitans12@gmail.com
Built for the research community to advance open, transparent, and reproducible evidence synthesis 🌐