jertl VS stumpy

Compare jertl vs stumpy and see what are their differences.

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jertl stumpy
1 6
0 2,984
- 1.9%
0.0 7.9
over 1 year ago 27 days ago
Python Python
Apache License Version 2.0 GNU General Public License v3.0 or later
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.

jertl

Posts with mentions or reviews of jertl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-31.
  • jmespath.py VS jertl - a user suggested alternative
    2 projects | 31 Oct 2022
    jertl is a minimum viable Python package for processing structured data. It allows developers to declaratively define common operations on complex data structures. Operations are specified using a mini-language in which target structures are visually similar to their textual representation.

stumpy

Posts with mentions or reviews of stumpy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-22.

What are some alternatives?

When comparing jertl and stumpy you can also consider the following projects:

jmespath.py - JMESPath is a query language for JSON.

pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

pycrown - PyCrown - Fast raster-based individual tree segmentation for LiDAR data

awesome-time-series - Resources for working with time series and sequence data

kafkaml-anomaly-detection - Project for real-time anomaly detection using Kafka and python

luminol - Anomaly Detection and Correlation library

dotmotif - A performant, powerful query framework to search for network motifs

pyvtreat - vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distributed under a BSD-3-Clause license.

dask-awkward - Native Dask collection for awkward arrays, and the library to use it.

numba-dpex - Data Parallel Extension for Numba

anomstack - Anomstack - Painless open source anomaly detection for your metrics 📈📉🚀

distributed-compute-on-aws-with-cross-regional-dask - Perform I/O intensive workloads on high-volume data sparsely located across multiple AWS regions through the use of Dask.