We track 310 tools across 12 categories with weekly data-driven scoring. Quantitative signals from Google Trends, GitHub, search data, and expert network intelligence — no opinions, no paywalls.
Edition 2026-W08 · Updated 2026-02-16
No movement changes this week. All tools maintained their current trajectory.
12 categories covering the full enterprise technology stack
Every tool is scored by a transparent, deterministic algorithm. No manual overrides, no editorial bias.
Search interest momentum — current level, year-over-year and month-over-month growth.
Stars growth, commit frequency, and active contributors. Log-normalized to prevent mega-repos from dominating.
Aggregated mention counts from PE/VC advisory calls — a leading indicator that often precedes public adoption by 6-12 months.
Monthly search volume and keyword difficulty from DataForSEO — how established a tool is in the market.
Every Monday morning. Our automated pipeline collects fresh data from Google Trends, GitHub, search volume APIs, and expert network mentions, then recomputes all scores and movement classifications.
Four quantitative sources: (1) Google Trends for search interest momentum, (2) GitHub API for developer activity (stars, commits, contributors), (3) DataForSEO for search volume and keyword difficulty, and (4) aggregated, anonymized mention counts from expert network call logistics.
Movement is classified using a composite trend score (0-100) combined with 12-week score deltas and expert mention frequency. We apply EWMA smoothing to reduce noise and hysteresis rules to prevent tools from bouncing between states. A tool must show sustained momentum over multiple weeks to change classification.
Three key differences: (1) Weekly updates vs semi-annual, (2) quantitative scoring from multiple data sources vs qualitative advisory board opinion, and (3) 310+ tools across 12 categories vs approximately 100 blips across 4 quadrants. We also publish our full scoring methodology for complete transparency.
A filled dot indicates expert-level experience — our team has led implementations, made buying decisions, or built production systems with the technology. A hollow dot indicates deep professional experience — significant evaluation, integration, or management in enterprise contexts.
Yes. Contact us with your suggestion. We evaluate additions based on relevance to enterprise technology, available data signals, and alignment with the categories we track.
