Dev tools · September 12, 2017

Optimus
Data cleansing and exploration made simple with Python/Spark
Optimus launched on September 12, 2017 with 5 votes, #1,471 of 3,072 launches that month.
What it does
Data cleansing and exploration made simple. Prepare, process and explore your data with fastest open source library on the planet using Apache Spark and Python
Does a similar job
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Turbolite – a SQLite VFS serving sub-250ms cold JOIN queries from S3Mar 2026 · github.com · ▲185I built a SQLite VFS in Rust that serves cold queries directly from S3 with sub-second performance, and often much faster. It’s called turbolite. It is experimental, buggy, and may corrupt data. I would not trust it with anything important yet. I wanted to explore whether object storage has gotten fast enough to support embedded databases over cloud storage. Filesystems reward tiny random reads and in-place mutation. S3 rewards fewer requests, bigger transfers, immutable objects, and aggressively parallel operations where bandwidth is often the real constraint. This was explicitly inspired…

- ATA tool to seed your dev database with real data2022 · ▲129
A bunch of developers and myself have created RepliByte - an open-source tool to seed a development database from a production database. Features: - Support data backup and restore for PostgreSQL, MySQL and MongoDB - Replace sensitive data with fake data - Works on large database (> 10GB) (read Design) - Database Subsetting: Scale down a production database to a more reasonable size - Start a local database with the prod data in a single command - On-the-fly data (de)compression (Zlib) - On-the-fly data de/encryption (AES-256) - Fully stateless (no server, no daemon) and lightweight…
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Source: Product Hunt launch ↗
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