Parse-Server
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LeapRows is a blazing-fast, browser-based CSV analysis tool powered by DuckDB-WASM. It handles 1,000,000+ rows directly in your browser โ no server uploads, no Python setup, no file splitting required.
All processing happens locally on your device using WebAssembly (WASM) and the Origin Private File System (OPFS). Your data never leaves your browser, making it ideal for teams with strict data privacy requirements.
Key features: 1M+ row support โ break the Excel/Google Sheets row limit without splitting files Private by design โ zero data upload; all analysis runs on your device Smart JOIN โ merge multiple CSV files on multiple keys without SQL Instant pivot & aggregation โ real-time charts and tables, no spinning wheel Recipes โ save your data prep steps as reusable JSON workflows and share them with your team Presets โ regex extraction, ranking, URL parameter parsing via GUI, no code needed Parquet support โ upload or export in Parquet format for faster repeat analysis
LeapRows is built for data analysts, marketers, and sales ops professionals who need spreadsheet-level simplicity at database-level scale โ without waiting for an engineering ticket.
Parse-Server LeapRowsParse-Server is recommended for startups, small to medium enterprises, and individual developers seeking a cost-effective backend solution with full control over their infrastructure. It's also ideal for projects that require rapid prototyping and deployment, app developers who need pre-built SDKs, and teams looking to migrate away from Parse's legacy hosted services.
LeapRows's answer:
LeapRows's answer:
LeapRows is a fully local, browser-based data tool powered by DuckDB-WASM that handles 1M+ row CSV files with blazing speed โ no server, no uploads.
LeapRows's answer:
LeapRows's answer:
LeapRows was born out of two frustrations: the "Python sharing problem" and server costs.
As an in-house SEO specialist, I frequently work with large CSVs exported from tools like Ahrefs, Google Search Console, and BigQuery โ often hundreds of thousands of rows. For heavy lifting, I'd reach for Python (Polars), but Python has a steep barrier: environment setup, code adjustments, and a learning curve that made it impossible to share with non-engineer teammates.
Even for myself, I'd often think "do I really need to write Python just for this small transformation?" On top of that, frustrating edge cases โ like type inference inconsistencies causing join errors on the same CSV from the same tool โ kept piling up.
I wanted something as easy as a spreadsheet but capable of handling millions of rows. That's what LeapRows is.
LeapRows's answer:
DuckDB-WASM, OPFS๏ผOrigin Private File System๏ผ
LeapRows's answer:
Based on our record, Parse-Server should be more popular than LeapRows. It has been mentiond 6 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
If youโre coming from the Parse ecosystem, it may help to know that Parse itself is a long-running open source backend framework. You can start from the official Parse Platform site, or go deeper with the communityโs Parse Server repository. Our own developer docs are organized around that reality. If you want implementation-level guides, start with our SashiDo Documentation. - Source: dev.to / 5 months ago
If you like headless CMS / Backend As A Service you should consider https://directus.io/ or https://github.com/parse-community/parse-server. Both nodejs and open source. Source: about 4 years ago
There's numerous standard backends which frontenders could use in simplistic cases to start, say https://github.com/PostgREST/postgrest or https://github.com/parse-community/parse-server. Source: over 4 years ago
Parse is still around and supported: https://github.com/parse-community/parse-server. - Source: Hacker News / over 4 years ago
I am curious what backend framework you would choose to run with for prototyping an application with run of the mill user management requirements. That is functionality along the lines of: session management, password policies, password reset, user verifications, etc. Sadly it seems there really aren't any frameworks that have user management natively supported. The only one I am aware of is [Parse... - Source: Hacker News / about 5 years ago
I use this setup on LeapRows, a browser-based CSV tool I built on Vercel. - Source: dev.to / 5 months ago
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