TSIClient VS tslearn

Compare TSIClient vs tslearn and see what are their differences.

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TSIClient tslearn
1 51
6 2,780
- 0.5%
7.0 6.9
7 months ago 9 days ago
Python Python
MIT License BSD 2-clause "Simplified" 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.

TSIClient

Posts with mentions or reviews of TSIClient. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-31.
  • Hosting Python Packages in Azure DevOps
    2 projects | dev.to | 31 Aug 2021
    from setuptools import setup, find_packages with open('README.md') as f: long_description = f.read() setup( name = 'animalsounds', # How you named your package folder (TSIClient) packages = ['animalsounds'], # Chose the same as "name" version = '1.0.0', # Start with a small number and increase it with every change you make license='MIT', # Chose a license from here: https://help.github.com/articles/licensing-a-repository long_description=long_description, long_description_content_type='text/markdown', # This is important! author = 'Vivek Raja P S', # Type in your name author_email = '[email protected]', # Type in your E-Mail url = 'https://github.com/Vivek0712/azure-devops-pypackage', # Provide either the link to your github or to your website #download_url = 'https://github.com/RaaLabs/TSIClient/archive/v_0.7.tar.gz', # If you create releases through Github, then this is important keywords = ['Azure', 'DevOps', 'Python'], # Keywords that define your package best packages = find_packages("src", exclude=["test"]), classifiers=[ 'Development Status :: 3 - Alpha', # Chose either "3 - Alpha", "4 - Beta" or "5 - Production/Stable" as the current state of your package 'Intended Audience :: Developers', # Define that your audience are developers 'Topic :: Software Development :: Build Tools', 'License :: OSI Approved :: MIT License', # Again, pick a license 'Programming Language :: Python :: 3.5', 'Programming Language :: Python :: 3.6', 'Programming Language :: Python :: 3.9', ], )

tslearn

Posts with mentions or reviews of tslearn. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing TSIClient and tslearn you can also consider the following projects:

pytorch-forecasting - Time series forecasting with PyTorch

sktime - A unified framework for machine learning with time series

azure-devops-pypackage

sktime-dl - DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow

neural_prophet - NeuralProphet: A simple forecasting package

Time-series-classification-and-clustering-with-Reservoir-Computing - Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.

scikit-hts - Hierarchical Time Series Forecasting with a familiar API

R-Time-Series-Task-View-Supplement - R Time series packages not included in CRAN Task View: Time Series Analysis

InceptionTime - InceptionTime: Finding AlexNet for Time Series Classification

Finance-Using-Python - This product helps to understand the stocks in visual manner and as well as it saves the record. And help to predict the data

atspy - AtsPy: Automated Time Series Models in Python (by @firmai)