rolling-quantiles
Blazing fast, composable, Pythonic quantile filters. (by marmarelis)
tdigest
PostgreSQL extension for estimating percentiles using t-digest (by tvondra)
| rolling-quantiles | tdigest | |
|---|---|---|
| 2 | 1 | |
| 133 | 82 | |
| - | - | |
| 2.0 | 3.7 | |
| 12 months ago | 8 months ago | |
| C | C | |
| Apache License 2.0 | PostgreSQL License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
rolling-quantiles
Posts with mentions or reviews of rolling-quantiles.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-09-14.
-
How percentile approximation works (and why it's more useful than averages)
Not sure about the parent post, but I also wrote a Python package inspired by a past interview question! It uses a pair of heaps to keep track of items in a time-series window and find exact quantile estimates.
https://github.com/marmarelis/rolling-quantiles
- Show HN: Fast Rolling Quantiles for Python
tdigest
Posts with mentions or reviews of tdigest.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-09-14.
What are some alternatives?
When comparing rolling-quantiles and tdigest you can also consider the following projects:
t-digest - A new data structure for accurate on-line accumulation of rank-based statistics such as quantiles and trimmed means
timescale-analytics - Extension for more hyperfunctions, fully compatible with TimescaleDB and PostgreSQL 📈
Folly - An open-source C++ library developed and used at Facebook.
node-faststats - Quickly calculate statistics of a running stream of data