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Top 7 C time-series Projects
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Project mention: Questions about Netdata update size/how to disable or move from nightly to stable? | reddit.com/r/netdata | 2023-05-20
Stable releases are a bit more complicated. Major and minor releases are typically once every few months at the moment, but do not have a consistent release schedule (we’re trying to shift internally to having a consistent release schedule though for these, likely every six to eight weeks). Patch releases are published as needed (either when some serious issue is discovered with the associated release, or when we have enough easily backported fixes in the nightlies to warrant a patch release). You can watch releases at https://github.com/netdata/netdata to see when stable releases are published (though again do note that native packages get published asynchronously relative to these releases being published).
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TDengine
TDengine is an open source, high-performance, cloud native time-series database optimized for Internet of Things (IoT), Connected Cars, Industrial IoT and DevOps.
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TimescaleDB
An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.
Project mention: Opinions and Suggestions for PostgreSQL Extension under Development | reddit.com/r/PostgreSQL | 2023-05-29What about getting in touch with commercial organisations that have products/services based on PostgreSQL? For example Timescale, EDB, and Citus Data, or really any hosting provider that offers a managed PostgreSQL service.
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I was experimenting with continuous sql queries in postgres for the same purpose. https://github.com/pipelinedb/pipelinedb
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Project mention: Looking for a recommendation for RAID with 16-18 large (18TB) drives | reddit.com/r/sysadmin | 2022-08-11
So if you value trends over spot values, why not try RRDtool or something equivalent (Kibana or Grafana)?
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Project mention: Show HN: HN:The Gorilla in the Room:Exploring RedisTimeSeries Optimizations | news.ycombinator.com | 2023-04-20
[4] https://github.com/powturbo/TurboPFor-Integer-Compression/is...
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Project mention: is there a package using data.table that provides functions for descriptive stats, missingness etc? | reddit.com/r/rstats | 2022-10-12
The ask is a little unclear. You might be interested in collapse and more generally in other packages in the fastverse. I guess it's also worth pointing out that data.table already provides alternative methods for certain base R descriptive stats functions (e.g., mean, etc.) that are automatically used when applied to datatables.
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InfluxDB
Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.
C time-series related posts
- TDengine: NEW Data - star count:21379.0
- TDengine: NEW Data - star count:21379.0
- TDengine: NEW Data - star count:21379.0
- TDengine: NEW Data - star count:21379.0
- TDengine: NEW Data - star count:21379.0
- I have to do about a million inserts on a table every day that is also under very frequent reads. How should I do that?
- Help with timeseries data
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A note from our sponsor - SonarLint
www.sonarlint.org | 2 Jun 2023
Index
What are some of the best open-source time-series projects in C? This list will help you:
Project | Stars | |
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1 | Netdata | 63,261 |
2 | TDengine | 21,401 |
3 | TimescaleDB | 15,032 |
4 | PipelineDB | 2,553 |
5 | RRDtool | 869 |
6 | TurboPFor | 677 |
7 | collapse | 469 |