study-dashboard logo
study-dashboard
★ 76
vs
flapi logo
flapi
★ 74

study-dashboard vs flapi

study-dashboard: A self-hostable personal study dashboard that tracks courses, schedule, lectures, study topics, deliverables, and tasks. It integrates with Claude via MCP (Model Context Protocol) with ~45 tools, allowing Claude to interact with the app from browser, phone, desktop, or Claude Code. The app provides a real-time view of academic progress and supports seamless AI-assisted learning.; flapi: flAPI is a powerful service that automatically generates read-only RESTful APIs for various datasets using SQL templates, leveraging DuckDB's engine. It simplifies data exposure and supports advanced features like AI tool integration via the Model Context Protocol (MCP).

01

TL;DR

study-dashboard logo
study-dashboardObservability · ★ 76

Study session with Claude: fetch lecture slides, teach content, and mark topics as studied via voice or text commands

flapi logo
flapiObservability · ★ 74

Exposing internal datasets as secure read-only APIs for applications or dashboards.

02

Side-by-Side Comparison

Field
study-dashboard logostudy-dashboard
flapi logoflapi
Category
Observability
Observability
Stars
★ 76
★ 74
License
MIT
Apache-2.0
Install Command
git clone https://github.com/AmmarSaleh50/study-dashboard && cd study-dashboard && uv sync && cd web && pnpm install && cd ..
docker pull ghcr.io/datazoode/flapi:latest && docker run -it --rm -p 8080:8080 -p 8081:8081 -v $(pwd)/examples/:/config ghcr.io/datazoode/flapi -c /config/flapi.yaml
Updated
4w ago
2w ago
Open Source
Yes
Yes
Tags
anthropic, claude, claude-code
API Generation, SQL Templates, Data Integration
03

Features

study-dashboard logostudy-dashboard
01Self-hostable personal study dashboard
02Integration with Claude via MCP (~45 tools)
03Real-time tracking of courses, schedule, lectures, study topics, tasks, and deliverables
04MCP connector for Claude.ai, Claude Code, and mobile app
05Upload and manage course files with PDF rendering to images
flapi logoflapi
01Automatic API Generation: Create APIs for your datasets without coding.
02Multiple Data Sources: Connect to BigQuery, SAP ERP & BW, Parquet, Iceberg, Postgres, MySQL, and more.
03SQL Templates: Use Mustache-like syntax for dynamic queries.
04Caching: DuckLake-backed cache with full refresh and incremental sync.
05MCP (Model Context Protocol) Support: Declarative creation of AI tools alongside REST endpoints.
04

Use Cases

study-dashboard logostudy-dashboard
↳Study session with Claude: fetch lecture slides, teach content, and mark topics as studied via voice or text commands
↳One-time semester seeding: use Claude Code to import all course data from LMS files and populate the dashboard
↳Daily management: check deadlines, add tasks, and review progress through the dashboard or Claude interface
flapi logoflapi
↳Exposing internal datasets as secure read-only APIs for applications or dashboards.
↳Creating a unified API layer over diverse data sources like BigQuery, Postgres, and local Parquet files.
↳Building AI-driven tools that require declarative access to structured data via the Model Context Protocol.
↳Rapid prototyping and deployment of data-driven microservices with built-in security and caching.
FAQ

FAQ

What is the difference between study-dashboard and flapi?
Both study-dashboard and flapi are in the Observability category. study-dashboard has 76 stars, while flapi has 74 stars.
Which is better, study-dashboard or flapi?
The best choice depends on your use case. Choose study-dashboard if Study session with Claude: fetch lecture slides, teach content, and mark topics as studied via voice or text commands, and flapi if Exposing internal datasets as secure read-only APIs for applications or dashboards..
Is study-dashboard free or open source?
Yes, study-dashboard is open source on GitHub (MIT).
Is flapi free or open source?
Yes, flapi is open source on GitHub (Apache-2.0).
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