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Pachyderm VS Scikit-learn

Compare Pachyderm VS Scikit-learn and see what are their differences

LibHunt
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Pachyderm logo Pachyderm

Pachyderm is an open source analytics engine that uses Docker containers for distributed computations.

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • Pachyderm Landing page
    Landing page //
    2023-10-17
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

Pachyderm videos

+ Add

TuneUp iTunes library tool - Pachyderm Review

More videos:

  • Review - Enabling reproducibility at scale with R and Pachyderm
  • Review - 2019 Claypool Cellars Purple Pachyderm Pinot Noir Rosé Wine Review
  • Demo - Intro to Pachyderm | The Data Foundation for Machine Learning
  • Tutorial - How to Use Pachyderm - Beginner's Tutorial Walkthrough

Scikit-learn videos

+ Add

Learning Scikit-Learn (AI Adventures)

More videos:

  • Review - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

Category Popularity

0-100% (relative to Pachyderm and Scikit-learn)

Pachyderm

Scikit-learn

Data Science And Machine Learning
4 4%
Data Science And Machine Learning
96% 96
ETL
100 100%
ETL
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100
Developer Tools
100 100%
Developer Tools
0% 0

User comments

Share your experience with using Pachyderm and Scikit-learn. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Pachyderm and Scikit-learn

Pachyderm Reviews

Python & ETL 2020: A List and Comparison of the Top Python ETL Tools
Pachyderm: This is another great alternative to tools like Airflow. Here's a great GitHub writeup about some of the simple differences between Airflow and Pachyderm. Note: Paychyderm has an open-source edition on their website.
Source: www.xplenty.com

Scikit-learn Reviews

15 data science tools to consider using in 2021
Scikit-learn is an open source machine learning library for Python that's built on the SciPy and NumPy scientific computing libraries, plus Matplotlib for plotting data. It supports both supervised and unsupervised machine learning and includes numerous algorithms and models, called estimators in scikit-learn parlance. Additionally, it provides functionality for model...
Source: searchbusinessanalytics.techtarget.com

Social recommendations and mentions

Based on our record, Scikit-learn seems to be a lot more popular than Pachyderm. While we know about 28 links to Scikit-learn, we've tracked only 1 mention of Pachyderm. 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.

Pachyderm mentions (1)

  • Proton Is Trying to Become Google–Without Your Data
    > Work: https://pachyderm.com/ Well, I know what I'm not using if I ever have a need for an ML pipeline. - Source: Hacker News / about 2 years ago

Scikit-learn mentions (28)

  • How to Build a Logistic Regression Model: A Spam-filter Tutorial
    Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / 3 months ago
  • Link Prediction With node2vec in Physics Collaboration Network
    Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / 12 months ago
  • WiFilter is a RaspAP install extended with a squidGuard proxy to filter adult content. Great solution for a family, schools and/or public access point
    The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: about 1 year ago
  • PSA: You don't need fancy stuff to do good work.
    Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: about 1 year ago
  • Help on using R for Machine Learning?
    Scikit-learn is a machine learning library that comes with a number of pre-built machine learning models, which can then be used as python wrappers. Source: over 1 year ago
View more

What are some alternatives?

When comparing Pachyderm and Scikit-learn, you can also consider the following products

9 Spokes - 9 Spokes is a free data dashboard that connects your apps to identify powerful insights to deliver your business KPI's.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Xplenty - Xplenty is the #1 SecurETL - allowing you to build low-code data pipelines on the most secure and flexible data transformation platform. No longer worry about manual data transformations. Start your free 14-day trial now.

OpenCV - OpenCV is the world's biggest computer vision library

Pepperdata - Pepperdata's software runs on existing Hadoop clusters to give operators predictability, capacity, and visibility for their Hadoop jobs.

NumPy - NumPy is the fundamental package for scientific computing with Python

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