Lovable
bolt.new
replit
BASE44
Cursor
WiX
v0.dev
Bubble.io
Apache Arrow
Pandas
Apache Parquet
Apache Spark
DuckDB
KNIME Analytics Platform
HPCC Systems
Splunk Enterprise
Lovable Apache ArrowBased on our record, Lovable should be more popular than Apache Arrow. It has been mentiond 73 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.
We built this in Lovable. A few prompts that saved real time:. - Source: dev.to / 17 days ago
I built the site, called Insider Hawk, with Lovable. - Source: dev.to / about 2 months ago
A solo founder using Bolt or Lovable can go from idea to working prototype in a weekend. Cursor handles multi-file refactoring on a production codebase. V0 generates polished UI components from a description. The founder who previously needed six months and $80,000 in savings or seed funding can now ship a testable product in two weeks for under $8,000 in tool costs. - Source: dev.to / 2 months ago
If you're building with Lovable and Supabase, there's a gotcha that will bite you eventually โ and when it does, you'll wonder why nobody warned you. Consider this your warning. - Source: dev.to / 2 months ago
I've shipped over a dozen MVPs with Lovable over the past year at Inithouse. The builder handles UI, routing, and deployment beautifully โ but SEO is not part of the default stack. Every single app I launched needed manual fixes before Google would index it properly. - Source: dev.to / 2 months ago
I had no idea what Arrow is: https://arrow.apache.org or arrow-rs: https://github.com/apache/arrow-rs. - Source: Hacker News / 11 months ago
- Open source: Pontoon is free to use by anyone Under the hood, we use Apache Arrow (https://arrow.apache.org/) to move data between sources and destinations. Arrow is very performant - we wanted to use a library that could handle the scale of moving millions of records per minute. In the shorter-term, there are several improvements we want to make, like:. - Source: Hacker News / 12 months ago
Apache Arrow : It contains a set of technologies that enable big data systems to process and move data fast. - Source: dev.to / over 1 year ago
One of the main selling points of Polars over similar solutions such as Pandas is performance. Polars is written in highly optimized Rust and uses the Apache Arrow container format. - Source: dev.to / over 1 year ago
Kotlin DataFrame v0.14 comes with improvements for reading Apache Arrow format, especially loading a DataFrame from any ArrowReader. This improvement can be used to easily load results from analytical databases (such as DuckDB, ClickHouse) directly into Kotlin DataFrame. - Source: dev.to / about 2 years ago
bolt.new - Prompt, run, edit, and deploy full-stack web apps
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
replit - Code, create, andlearn together. Use our free, collaborative, in-browser IDE to code in 50+ languages โ without spending a second on setup.
Apache Parquet - Apache Parquet is a columnar storage format available to any project in the Hadoop ecosystem.
BASE44 - The platform for people to turn ideas into working products.
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.