Victory
Recharts
D3.js
Chart.js
nivo
Plotly
Highcharts
amCharts
Apache Cassandra
Redis
MongoDB
ArangoDB
neo4j
PostgreSQL
OrientDB
MySQL
VictoryBased on our record, Apache Cassandra should be more popular than Victory. It has been mentiond 42 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.
Victory is a set of modular charting components for React and React Native. Victory makes it easy to get started without sacrificing flexibility. Create one of a kind data visualizations with fully customizable styles and behaviors. Victory uses the same API for web and React Native applications for easy cross-platform charting. - Source: dev.to / 11 months ago
Victory Native is a chart library that was developed in 2015. It has been 7 years since its inception. With a high cumulative download count of 7,434,044, it has garnered an impressive 10.3k+ stars on GitHub. It is the longest-standing and most widely used chart library in the history of React Native. - Source: dev.to / about 1 year ago
Anyone use Victory? It looks like it is gaining traction. Source: over 1 year ago
For convenience of others, here’s a link to Victory Native’s project site (it’s a react.js library with a native version, so be sure to find the native docs). Source: over 1 year ago
Victory is a ReactJS and React Native chart library created by Formidable. It's based on ReactJS and D3, and comes with a slew of fully configurable charts pre-installed. - Source: dev.to / over 1 year ago
Cassandra is a highly scalable, distributed NoSQL database designed to handle large amounts of data across many commodity servers without a single point of failure. - Source: dev.to / 3 days ago
Distributed storage Distributed storage systems like Cassandra, DynamoDB, and Voldemort also use consistent hashing. In these systems, data is partitioned across many servers. Consistent hashing is used to map data to the servers that store the data. When new servers are added or removed, consistent hashing minimizes the amount of data that needs to be remapped to different servers. - Source: dev.to / about 2 months ago
On the other hand, NoSQL databases are non-relational databases. They store data in flexible, JSON-like documents, key-value pairs, or wide-column stores. Examples include MongoDB, Couchbase, and Cassandra. - Source: dev.to / 3 months ago
HBase and Cassandra: Both cater to non-structured Big Data. Cassandra is geared towards scenarios requiring high availability with eventual consistency, while HBase offers strong consistency and is better suited for read-heavy applications where data consistency is paramount. - Source: dev.to / 4 months ago
Dear r/python, we are happy to present you with our first open-source project. We have managed to implement a new driver for Python that works with Apache Cassandra, ScyllaDB and AWS Keyspaces. Source: 9 months ago
Recharts - Redefined chart library built with React and D3
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Chart.js - Easy, object oriented client side graphs for designers and developers.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.