stumpy VS jertl

Compare stumpy vs jertl and see what are their differences.

stumpy

STUMPY is a powerful and scalable Python library for modern time series analysis (by TDAmeritrade)
Data Science time-series-analysis Dask numba Python anomaly-detection pattern-matching pydata matrix-profile motif-discovery time-series-segmentation time-series-data-mining
Source Code
stumpy.readthedocs.io
Suggest alternative
Edit details

jertl

A minimum viable Python package for processing structured data (by RaymondPelletier)
Python structure data pattern-matching Templates JSON mini-language structured-data virtual-machine
Source Code
Docs
Suggest alternative
Edit details
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
stumpy jertl
6 1
2,994 0
1.0% -
7.9 0.0
about 1 month ago over 1 year ago
Python Python
GNU General Public License v3.0 or later Apache License Version 2.0
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.

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.

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.

What are some alternatives?

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

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

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

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

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

luminol - Anomaly Detection and Correlation library

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.

stumpy vs pyod jertl vs jmespath.py stumpy vs pycrown stumpy vs awesome-time-series stumpy vs kafkaml-anomaly-detection stumpy vs dotmotif stumpy vs luminol stumpy vs pyvtreat stumpy vs dask-awkward stumpy vs numba-dpex stumpy vs anomstack stumpy vs distributed-compute-on-aws-with-cross-regional-dask