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eSuivi, the Impact assessment system logo

eSuivi, the Impact assessment system

Tracks project indicators, builds logframes, and generates donor reports for development organizations.

AnalyticsAnalyticsNo-codeMobile app
esuivi.com ↗Launched on Product Hunt · 2026-06-11
At a glanceswept 2026-09-18
Price
Price not read
Use
Emerging
Activity
Maintainednothing dated on the site
Company
since 2026first launch
Runs as
No-codeMobile app
Alternatives in Analyticsby use, among tools still maintained
  • Wolfram: Computation Meets KnowledgeProvides computational tools for technical computing, data analysis, and symbolic mathematics.

    Widely used

  • EvidenceDefines analytics dashboards and reports as code in version control, with an agent that answers data questions in natural language.

    Widely used

  • RipplingManages HR, IT, payroll, and finance for global workforces on a unified platform with AI automation.

    Widely used

  • DataboxConnects business data and metrics to AI agents that analyze performance, generate reports, and automate recurring analysis workflows.

    Widely usedActively maintained

  • ThoughtSpotBuilds analytics agents and dashboards that answer business questions from company data using natural language.

    Widely used

  • Sigma ComputingBuilds analytics applications and AI agents that query data warehouses directly with governance at the source.

    Established

All Analytics tools →

Questions this page answers
  • What is eSuivi, the Impact assessment system?

    Tracks project indicators, builds logframes, and generates donor reports for development organizations.

  • Do people use eSuivi, the Impact assessment system?

    Emerging.

  • Is eSuivi, the Impact assessment system still maintained?

    Maintained.

  • What are alternatives to eSuivi, the Impact assessment system?

    In Analytics, by use: Wolfram: Computation Meets Knowledge, Evidence, Rippling, Databox, ThoughtSpot, Sigma Computing.

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one row at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.