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PyPOTS VS Open Source @ Microsoft

Compare PyPOTS VS Open Source @ Microsoft and see what are their differences

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Contents:
  1. » Base Details
  2. » Reviews
  3. » Alternatives

PyPOTS logo PyPOTS

a Python lib for data mining on PartiallyObserved TimeSeries

Open Source @ Microsoft logo Open Source @ Microsoft

Microsoft's Open Source projects on Github
  • PyPOTS Landing page
    Landing page //
    2023-09-15
  • Open Source @ Microsoft Landing page
    Landing page //
    2021-10-02

PyPOTS features and specs

  • User-Friendly Interface
    PyPOTS offers an intuitive interface for working with time series data, making it accessible even for users who may not have significant programming experience.
  • Comprehensive Library
    The library includes a wide range of algorithms and tools for processing time series data, providing users with a broad toolkit to address various types of analyses and tasks.
  • Open Source
    Being open source, PyPOTS allows users to freely access, modify, and distribute the software, encouraging a collaborative and transparent development process.
  • Community Support
    PyPOTS benefits from a supportive community of developers and users who contribute to its continuous improvement and can offer assistance with troubleshooting and best practices.

Possible disadvantages of PyPOTS

  • Steep Learning Curve
    While it is user-friendly, new users might find the complete range of features and modules overwhelming, requiring time to learn effectively.
  • Performance Limitations
    For large-scale or highly complex datasets, PyPOTS might face performance bottlenecks, necessitating optimizations or alternative solutions for efficient processing.
  • Limited Advanced Features
    Some highly specialized or advanced features that are available in more mature time series packages might be missing, which could limit its applicability for niche applications.
  • Dependency Management
    Users might experience challenges managing dependencies and compatibility issues, especially when integrating PyPOTS with other Python libraries in complex environments.

Open Source @ Microsoft features and specs

No features have been listed yet.

Category Popularity

0-100% (relative to PyPOTS and Open Source @ Microsoft)

PyPOTS

Open Source @ Microsoft

Productivity
100 100%
Productivity
0% 0
Open Source
0 0%
Open Source
100% 100
Web Scraping
100 100%
Web Scraping
0% 0
Web App
0 0%
Web App
100% 100

User comments

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Social recommendations and mentions

Based on our record, PyPOTS seems to be more popular. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

PyPOTS mentions (3)

  • [R] SAITS: Self-Attention-based Imputation for Time Series. Expert Systems with Applications, 219:119619, 2023.
    Absolutely my pleasure! Please pay a visit to the toolbox PyPOTS https://pypots.com if you're interested in modelling partially-observed time series (POTS). It deserves your attention ;-). Source: over 2 years ago
  • Missing values in time series collected from the real world are common to see and very pesky. A new state-of-the-art and fast neural network called SAITS is proposed to impute missing data in partially-observed multivariate time series. The code is open source on GitHub.
    If your research lies in time-series modeling, you may also be interested in the work PyPOTS: a Python toolbox for data mining on Partially-Observed Time Series https://pypots.com/. Its full paper is available on arXiv as well https://arxiv.org/abs/2305.18811, which has been peer-reviewed and accepted by the 9th SIGKDD international workshop Mining and Learning from Time Series (MiLeTS'23). Source: over 2 years ago
  • We built PyPOTS: an open-source toolbox for data mining on partially-observed time series
    Due to all kinds of reasons like failure of collection sensors, communication error, and unexpected malfunction, missing values are common to see in time series from the real-world environment. This makes partially-observed time series (POTS) a pervasive problem in open-world modelling and prevents advanced data analysis. Although this problem is important, the area of data mining on POTS still lacks a dedicated... Source: over 2 years ago

Open Source @ Microsoft mentions (0)

We have not tracked any mentions of Open Source @ Microsoft yet. Tracking of Open Source @ Microsoft recommendations started around Mar 2021.

What are some alternatives?

When comparing PyPOTS and Open Source @ Microsoft, you can also consider the following products

Apify Python SDK - Build and manage web scraping Actors in the cloud.

Code NASA - 253 NASA open source software projects

Awesome Python - Your go-to Python Toolbox. A curated list of awesome Python frameworks, packages, software and resources. 1303 projects organized into 177 categories.

Open Source @IFTTT - A collection of IFTTT OSS projects.

Python Package Index - A repository of software for the Python programming language

Google Open Source - All of Googles open source projects under a single umbrella

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