study-dashboard logo
study-dashboard
★ 76
vs
archestra logo
archestra
★ 4.4k

study-dashboard vs archestra

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.; archestra: Archestra is a secure, MCP-native AI platform that simplifies enterprise AI adoption. It provides comprehensive tools for AI orchestration, security against prompt injections and data exfiltration, cost management, and observability across the organization.

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

archestra logo
archestraObservability · ★ 4.4k
When to choose:
  • You are a platform or security team that needs central control over how the company uses models and MCP servers.
  • You want one platform covering an internal chat, an LLM gateway, an MCP gateway and registry, and an agent runtime.
  • You need SSO, RBAC, sandboxed code execution, guardrails, per-user tool authorisation, OpenTelemetry and Prometheus.
When to skip:
  • You are a small team that only needs a proxy: Kubernetes-oriented components make this a significant deployment.
  • You need to avoid AGPL or commercial terms: the default code is AGPL-3.0 and parts marked Enterprise are under a commercial licence.
  • You already run gateways or chat apps whose roles overlap; plan what it would replace.
02

Side-by-Side Comparison

Field
study-dashboard logostudy-dashboard
archestra logoarchestra
Category
Observability
Observability
Stars
★ 76
★ 4.4k
License
MIT
AGPL-3.0 (enterprise parts under a commercial license)
Install Command
git clone https://github.com/AmmarSaleh50/study-dashboard && cd study-dashboard && uv sync && cd web && pnpm install && cd ..
docker pull archestra/platform:latest; docker run -p 9000:9000 -p 3000:3000 -e ARCHESTRA_QUICKSTART=true -v /var/run/docker.sock:/var/run/docker.sock -v archestra-postgres-data:/var/lib/postgresql/data -v archestra-app-data:/app/data archestra/platform;
Updated
4w ago
1d ago
Open Source
Yes
Yes
Tags
anthropic, claude, claude-code
AI Platform, AI Security, Kubernetes
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
archestra logoarchestra
01Secure, MCP-native AI Platform for simplified enterprise AI usage.
02Private MCP registry with governance and ChatGPT-like chat capabilities.
03Kubernetes-native orchestration for managing AI servers and credentials.
04Advanced security features to prevent prompt injections and data exfiltration.
05Comprehensive cost monitoring, dynamic optimization, and observability tools.
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
archestra logoarchestra
↳Centralized orchestration and secure management of AI models and data for platform teams.
↳Secure deployment and development of AI agents across the organization for developers.
↳Facilitating organization-wide AI adoption, cost reduction, and usage visibility for management.
05

Best For

study-dashboard logostudy-dashboard
—
archestra logoarchestra
EssentialTrending
FAQ

FAQ

What is the difference between study-dashboard and archestra?
Both study-dashboard and archestra are in the Observability category. study-dashboard has 76 stars, while archestra has 4.4k stars.
Which is better, study-dashboard or archestra?
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 archestra if Centralized orchestration and secure management of AI models and data for platform teams..
Is study-dashboard free or open source?
Yes, study-dashboard is open source on GitHub (MIT).
Is archestra free or open source?
Yes, archestra is open source on GitHub (AGPL-3.0 (enterprise parts under a commercial license)).
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