
Moqups
Balsamiq
Invision
Axure
UXpin
Proto.io
Fluid UI
Zeplin
Apache Arrow
Pandas
Apache Parquet
Apache Spark
DuckDB
KNIME Analytics Platform
HPCC Systems
Splunk Enterprise
Moqups
Apache ArrowBased on our record, Apache Arrow should be more popular than Moqups. It has been mentiond 40 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 need to determine the look and functionality of each view in the app. One of the best approaches is to draw each view of the app either using a mockup tool or on paper, this will give you a good idea of what information and data you're planning to have on each page. - Source: dev.to / over 1 year ago
Moqups: Simple tool for creating wireframes and mockups. - Source: dev.to / over 1 year ago
Functions edit, add, remove post are for authorized persons (of course), that's why you have to make a new page with its layout by using Moqups, for example. - Source: dev.to / about 5 years ago
I would also look at https://moqups.com/ if super-high-fidelity screens are not required. Source: about 5 years ago
A mockup takes a wireframe to the next level. Depending on how confident you are in the design youโre proposing, you can create a basic mockup or put it more details, like images, colors and even some functionality. You can use tools like Mockflow and Moqups. Source: about 5 years 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
Balsamiq - Balsamiq. Rapid, effective and fun wireframing software.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Invision - Prototyping and collaboration for design teams
Apache Parquet - Apache Parquet is a columnar storage format available to any project in the Hadoop ecosystem.
Axure - The most powerful way to plan, prototype and hand off to developers, all without code. Download a free trial and see why professionals choose Axure RP 9.
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.