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A local-first SQLite manager and CLI for inspecting, editing and exporting SQLite files without a cloud platform, built for developers working with local databases and prototypes.
Works offlineCan export my data
What to know▼
How it works
A local-first SQLite manager and CLI for inspecting, editing, documenting, visualizing, and exporting SQLite files stored on your machine.
What's different
Runs entirely locally instead of forcing users onto a cloud platform or into a heavyweight enterprise database client.
Best for
Developers and researchers working directly with SQLite files as products, datasets, or prototypes.
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Finds Upwork projects and drafts proposals in your writing style entirely on-device via Chrome's built-in AI — no API keys, no cloud, no FindUp server. Built for freelancers who don't want their data sent anywhere.
FreeWorks offlineNo tracking
What to know▼
How it works
Search any company and get structured, sourced data extracted with free on-device AI (Gemini Nano); every value links back to the public page it came from with a confidence score and the date it was found.
What's different
Runs AI locally with no sign-in, and omits any value it can't confirm instead of guessing, unlike a chatbot that hands you an unsourced paragraph.
Pricing
Free.
Best for
People researching companies who want sourced, checkable data instead of a chatbot's paraphrase.
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An open-source Python backtesting engine that traces trading signals through weights, orders, fills, and performance for reproducible research, for quant developers, instead of building a custom backtester from scratch.
Works offlineOpen source
What to know▼
How it works
Supports vectorized research or order-aware simulation with transaction costs, walk-forward testing, 80+ metrics, and 25+ charts; runs locally, with optional managed market data through an API.
Pricing
Open-source and runs locally; managed market data available through a paid API.
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A local-first desktop app that extracts details from PDF journal articles and builds a synthesis matrix comparing frameworks across papers. Built for researchers and PhD candidates doing literature reviews.
Works offline
What to know▼
How it works
Imports a PDF journal article and automatically extracts the title, authors, summary, research gap, theoretical frameworks, key constructs, methodology and findings into a structured card, then builds a synthesis matrix comparing constructs and frameworks across multiple papers.
What's different
Runs local-first on the desktop, so article data is not sent to the cloud.
Best for
Researchers, PhD candidates and academics doing literature reviews who need to compare frameworks across many papers.
