RTEC
kaskada
| RTEC | kaskada | |
|---|---|---|
| 1 | 3 | |
| 79 | 341 | |
| - | 0.9% | |
| 7.4 | 9.6 | |
| 19 days ago | 6 months ago | |
| Prolog | Rust | |
| GNU Lesser General Public License v3.0 only | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
RTEC
kaskada
-
Need feedback from the folks here on efficiency for streaming a parquet file
You might try using a query engine for this - duckdb is really great for SQL analysis and I’m part of the team behind a tool called Kaskada that’s focused on time-based analysis.
- Timelines: An Evolution in Stream Processing Abstraction
- Show HN: Kaskada – modern, open-source event processing
What are some alternatives?
Siddhi - Stream Processing and Complex Event Processing Engine
fluvio - Lean and mean distributed stream processing system written in rust and web assembly.
Philosophy - List of Philosophy Algorithms
pushpin - A proxy server for adding push to your API, used at the core of Fastly's Fanout service
logtalk3 - Logtalk - declarative object-oriented logic programming language
dozer - Dozer is a real-time data movement tool that leverages CDC from various sources and moves data into various sinks.
debug_adapter - Debug Adapter Protocol (DAP) implementation for SWI-Prolog
materialize - The data warehouse for operational workloads.
data-logic - Expert system with deductive querying and verification of constraints expressed in natural language
lol-html - Low output latency streaming HTML parser/rewriter with CSS selector-based API
ciao - Ciao is a modern Prolog implementation that builds up from a logic-based simple kernel designed to be portable, extensible, and modular.
datafuse - An elastic and reliable Cloud Warehouse, offers Blazing Fast Query and combines Elasticity, Simplicity, Low cost of the Cloud, built to make the Data Cloud easy [Moved to: https://github.com/datafuselabs/databend]