Evidence Core

Build live analytics with coding agents

GitHubData ScienceData VisualizationOpen Source

▲ 106 votes5 commentsLaunched Aug 26, 2026

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Evidence Core is an open source framework for building business intelligence applications with coding agents. Build your entire business intelligence platform as a repo of files, and deploy it anywhere, for free. Metrics, dashboards, reports and themes are all specified in code which you can validate, preview and serve using the Evidence CLI.

AI Analysis

📝 Summary

Evidence Core is an open-source framework for building business intelligence applications with coding agents. It lets users define an entire BI platform—including metrics, dashboards, reports, and themes—as code in a Git repository. The Evidence CLI enables validation, previewing, and serving, with free deployment anywhere. It addresses pain points like high costs, lack of version control, and inflexibility in traditional BI tools like Tableau. USP: code-first, vendor-free, Git-native analytics that supports live data visualization. Value proposition: build customizable, maintainable BI apps as code for data teams seeking flexibility and control.

📈 Market Timing

Favorable in 2025-2026 due to surging AI agent adoption for coding tasks, maturing open-source data tools, and demand for developer-friendly, Git-integrated analytics amid cost pressures on enterprise software. Trends favor code-as-config BI over proprietary platforms. Excellent Timing.

✅ Feasibility

High feasibility. Leverages mature technologies for code-based dashboards with low operational costs via open-source repo model. Minimal supply chain or compliance risks for software framework. Strong scalability through CLI and anywhere-deployment. Suitable for dev-focused teams. Main risks are ecosystem adoption.

🎯 Target Market

Primary users: data analysts, engineers, and developers in tech startups and mid-size data-driven firms (software, finance, analytics services). Global with concentration in US/Europe. Core pain points: expensive locked-in BI platforms lacking version control. Market is large and growing (BI/analytics sector demand strong); moderate-to-high willingness to pay for enterprise extensions or support around the free core.

⚔️ Competition

Medium. Direct competitors: Metabase (metabase.com), Apache Superset (superset.apache.org), Streamlit (streamlit.io), Observable (observablehq.com), Hex (hex.tech). Advantages: fully file/repo-based for Git workflows, free unlimited open-source use, coding agents integration. Disadvantages: steeper learning curve for non-coders vs no-code tools; fewer out-of-box enterprise features and support than paid competitors.

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