Open-source real-time SQL analytics, full-text search, and vector database unified for AI workloads.
Best for: Teams building customer-facing analytics dashboards requiring sub-second SQL queries, Data engineers consolidating a fragmented OLAP stack (Hive, HBase, MySQL, Trino) into one engine
AI scientific figure maker for publication-ready illustrations and data charts
Best for: Academic researchers preparing journal figures for Nature, Science, or Cell, Graduate students creating thesis illustrations and graphical abstracts
Open-source agentic forecasting agent combining LLMs with 30+ time series foundation models.
Best for: Data scientists wanting quick, explainable forecasts from CSV data with automated model selection, Developers building forecasting pipelines with minimal code via CLI or Python
Dalus: AI-native SysML v2 MBSE platform for regulated hardware teams.
Best for: Systems engineers in aerospace, defense, automotive, robotics, and energy, Hardware teams adopting SysML v2 for model-based systems engineering
Build interactive data apps and dashboards in pure Python.
Best for: Data scientists building interactive internal dashboards in Python, Teams needing to ship data products quickly without front-end specialists
Open-source JS library that turns LLM output into charts with natural syntax.
Best for: Developers building AI copilots or agents that need to generate charts from LLM output, LLM application makers integrating real-time chart streaming into chat interfaces
Free open-source AI desktop agent for 24/7 autonomous web monitoring and analysis
Best for: Data analysts needing 24/7 automated monitoring of multiple web sources, Researchers aggregating multi-source intelligence with change tracking
Autonomous data apps that eliminate manual spreadsheet work.
Best for: Operations analysts automating weekly data consolidation and reporting, Finance teams reconciling transactions from multiple systems (ERP, CRM, bank)
Open-source LLM stock analysis for A/HK/US markets with auto daily reports
Best for: Individual investors wanting automated daily research for A, HK, US stocks and ETFs, Quantitative hobbyists needing a free, self-hosted analysis pipeline with backtesting
