Fair Score
What is Fair Score?
Fair Score is a 100-point system that Fair Software uses to assess how software products are built and run, considering fairness, transparency, and respect for users. We rate each app in our directory using 22 criteria in 6 sections. This score does not measure technical performance.
We assess each criterion through independent research in sources such as official documentation, privacy policies, security audit reports, public financial disclosures, and community activity. Every assessment comes with a written explanation and links to sources, so anyone can review and verify our evaluations.
Methodology
Every Fair Score evaluation follows a consistent research and documentation process:
- Primary source research.
We begin with the product's own documentation: privacy policy, terms of service, security pages, pricing pages, and official blog or changelog. These are cross-referenced with third-party sources. - Independent verification.
Claims made by the company are verified against independent sources: audit reports, journalism, academic research, regulatory filings, and community reports. We do not take marketing copy at face value. - Auditable justification.
Each of the 22 assessments includes a written justification and direct links to the sources. Evaluations are stored as structured documents so that any reader can verify or dispute any individual assessment. - Scoring discipline.
Where evidence is ambiguous, we score conservatively — the benefit of the doubt goes to users, not the company. An app cannot earn points for a policy that contradicts its actual behavior. - Regular review.
Products change. Scores may be reviewed when significant changes occur (new ownership, major policy updates, security incidents, major new versions). The evaluation date is always shown on each product page.
The complete methodology — questions, scoring criteria, and rationale for every answer — is published openly at codeberg.org/gamito/fair-score under a CC BY-NC-SA 4.0 license.
Rating Scale
Questions
Fair Score is made up of 22 questions across 6 sections. Each question has a set of options with defined point values. The sections and their questions are listed below, with the rationale for each question.
Section 1 — Privacy & Data
Where user data lives, how it is protected, and whether it is used to train AI models.
1.1Where is user data stored?
1.2Is end-to-end encryption available for user content?
1.3Does the company sell or share user data with third parties?
1.4Does the product train AI models directly on user data (including prompts, files, metadata)?
Section 2 — Openness & Transparency
License, auditability, open governance, and independent security assurance.
2.1What is the source code licence?
2.2Has the software been independently security-audited or certified?
2.3For open-source projects, is the governance model documented and open to community participation?
Section 3 — Pricing Model
How users pay for the product, whether pricing relies on exploiting user data, and how fair and transparent prices are across regions.
3.1What is the primary pricing structure?
3.2Is there a genuinely functional free tier (without monetising user data)?
3.3Is pricing transparent with no dark patterns?
3.4Does the product use fair regional pricing that reflects local purchasing power without exploiting any region?
Section 4 — Ownership & Portability
User control over data and vendor lock-in, including export, self-hosting, offline use, cross-platform availability, and accessibility.
4.1Can users export ALL their data in an open format?
4.2Is self-hosting available?
4.3Does the software work offline?
4.4Is the app available on multiple operating systems, including at least one non-proprietary/open platform?
4.5Does the product demonstrate basic accessibility support (screen readers, keyboard navigation, contrast, captions, etc.)?
Section 5 — Independence & Ethics
Ownership, independence from Big Tech, stability over time, and whether the company shows responsible behavior in ethics, advertising, and environmental impact.
5.1What is the company / project structure?
5.2Has ownership changed significantly in the last 3 years?
5.3Does the company publish clear, public policies on responsible use, advertising, and AI?
5.4Does the company provide public information or commitments regarding the environmental impact of its infrastructure?
Section 6 — Longevity & Community
How long the project has been actively maintained and how healthy and engaged its user and contributor community is.