not read yet
Use
- For
- Project managers and executives needing to identify emerging risks in complex projects
- Price
- Price not read
- Activity
- Activity not read yet
- Company
- Domain since 2026domain registered
- quantify schedule and delivery uncertainty using monte carlo simulation
- turn project execution data into actionable executive intelligence
- Domain since2026domain registered
Figure and bar: visits/mo, estimate · year: online since
- #1
Supaboard AI
Deploys AI agents to build dashboards and run scheduled reports from connected data sources.
10kActiveFrom $83/user/mo - #2
Preset
Builds and manages interactive dashboards and analytics on Apache Superset with cloud hosting and AI-assisted exploration.
6.3kActiveFrom $20/user/mo - #3
Scoop
Generates location-specific action plans from business intelligence data for distributed retail operations.
2.6kActiveFrom $125/user/mo2019 - #4
Fabi
Generates dashboards, runs ad hoc analysis, and automates data workflows across spreadsheets, data warehouses, and applications.
1.7knot readFrom $39/user/mo - #5
Othor AI
Generates business intelligence reports and alerts by analyzing connected data sources with automated agents.
72ActiveFrom $200/mo2024 - #6
Automat BI
Builds dashboards, forecasts demand, and automates data pipelines to replace manual reporting workflows.
33Active—
What is APRA?
Analyzes project data to forecast risks and quantify delivery uncertainty using Monte Carlo simulation. It is listed in the Atlas under Analytics.
Who is APRA for?
Project managers and executives needing to identify emerging risks in complex projects
Do people use APRA?
Little sign of use.
What are alternatives to APRA?
In Analytics, by use: Supaboard AI, Preset, Scoop, Fabi, Othor AI, Automat BI.
Not quite it? Describe the job
betaFive tools from the Atlas that fit it, each judged against what you wrote.
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 tool 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.