MarsX
Durable
Safurai
Codeium
Captain
ChatPlayground AI
replit
Stunning
Apache Arrow
Pandas
Apache Parquet
Apache Spark
DuckDB
KNIME Analytics Platform
HPCC Systems
Splunk Enterprise
Attention all developers, entrepreneurs, and tech enthusiasts: Are you ready to revolutionize the world of software development? With MarsX, you can create high-quality apps quickly and easily, without the need to reinvent the wheel or spend hours writing complex code. Our low-code platform allows you to focus on the unique aspects of your projects, while our subscription-based model provides access to all the micro apps built by thousands of developers. But that's not all! By building micro-apps and publishing them on our marketplace, you can generate a sustainable revenue stream and take your career to the next level. With MarsX, you can create MicroApps instead of building yet another SAAS with less hustle and no need to market, and be paid by thousands of users. Join us and unlock the potential of a devtool that combines AI+NoCode+ProCode on top of MicroApps๐
Apache ArrowBased on our record, Apache Arrow seems to be a lot more popular than MarsX. While we know about 40 links to Apache Arrow, we've tracked only 1 mention of MarsX. 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.
MarsX (My own product) A mix of AI, NoCode, and High Code. I built SEO Bot AI, Listing Bott, and Index Rusher using MarsX. It takes the whole coding world to the next level since it isn't a website builder, but a "SaaS builder". - Source: dev.to / about 1 year 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 / 11 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
Durable - Durable makes it 10x easier to start an independent service business.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Safurai - The AI code assistant that really helps developers.
Apache Parquet - Apache Parquet is a columnar storage format available to any project in the Hadoop ecosystem.
Codeium - Free AI-powered code completion for *everyone*, *everywhere*
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
