Software Alternatives, Accelerators & Startups

Hive VS Scikit-learn

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

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Hive logo Hive

Seamless project management and collaboration for your team.
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Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • Hive Landing page
    Landing page //
    2021-03-01

Hive is the powerful project management tool built to help teams move faster. Used by teams at Starbucks, Comcast and Toyota, Hive gives teams the ability to manage projects, communicate effectively, and analyze team productivity stats.

The basis of Hive is action cards, which can be organized into projects and collaborated on by several team members. Cards are assigned due dates and subtasks, and can be viewed flexibly in Gantt, Kanban, calendar or table view. Hive also has native chat and a first-of-its-kind email integration, which enables the tool to act as an all-in-one hub for businesses of all sizes, empowering efficiency and innovation.

  • Scikit-learn Landing page
    Landing page //
    2022-05-06

Hive

Website
hive.com
$ Details
$12.0 / Monthly (Per user)
Platforms
iOS Android Windows Mac OSX Browser
Release Date
2016 January
Startup details
Country
United States
State
New York
City
New York
Founder(s)
Brett Knutson
Employees
50 - 99

Hive features and specs

  • Free Trial
    14 day free trial
  • Integrations
    Integrates with email, Slack, Dropbox, and more
  • File sharing
    Ability to share files in Hive
  • Easy to Set-up and use
    Simple workspace set up
  • Analytics and Reporting
    Personalized analytics

Scikit-learn features and specs

  • Ease of Use
    Scikit-learn provides a high-level interface for common machine learning algorithms, making it easy for beginners and professionals to implement complex models with minimal coding.
  • Extensive Documentation and Community Support
    The library has comprehensive documentation and a large, active community. This makes it easy to find tutorials, examples, and solutions to common problems.
  • Integration with Other Libraries
    Scikit-learn integrates well with other scientific computing libraries such as NumPy, SciPy, and pandas, allowing for seamless data manipulation and analysis.
  • Variety of Algorithms
    It offers a wide array of machine learning algorithms for tasks such as classification, regression, clustering, and dimensionality reduction.
  • Performance
    Designed with performance in mind, many of the algorithms are optimized and some even support multicore processing.

Possible disadvantages of Scikit-learn

  • Limited Deep Learning Support
    Scikit-learn is primarily focused on traditional machine learning algorithms and does not offer support for deep learning models, unlike libraries like TensorFlow or PyTorch.
  • Not Ideal for Large-Scale Data
    While Scikit-learn performs well for moderate-sized datasets, it may not be the best choice for extremely large datasets or big data applications.
  • Lack of Online Learning Algorithms
    The library has limited support for online learning algorithms, which are useful for scenarios where data arrives in a stream and model needs to be updated incrementally.
  • Less Flexibility in Customization
    It can be less flexible compared to lower-level libraries when highly customized or specific implementations are needed.
  • Dependency Overhead
    Scikit-learn relies on several other Python libraries like NumPy and SciPy, which might require users to manage multiple dependencies.

Hive videos

Using Hive As A Leader, Manager, or User

More videos:

  • Review - Hive Review – Compact Project Management Software for Teamwork Optimization

Scikit-learn videos

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 Hive and Scikit-learn)
Project Management
100 100%
0% 0
Data Science And Machine Learning
Productivity
100 100%
0% 0
Data Science Tools
0 0%
100% 100

User comments

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Reviews

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

Hive Reviews

Top 12 Online Collaboration Tools for Smart Working
Hive ranks among the top online collaboration platforms by consolidating all work-related activities into a unified dashboard. The versatility and accessibility of various project management systems, emphasizing their ease of use and capabilities for organizing tasks and tracking assignments, make Hive a standout choice. Teams can handle tasks, engage in live discussions,...
Source: niftypm.com
25 Best Asana Alternatives & Competitors for Project Management in 2024
Hive provides task management, project planning templates, and time tracking to reflect how you work on a day-to-day basis. Choose from Hive’s thousands of integrations to get the information you need from multiple sources into one centralized location. Users can also create personalized to-do lists and automate their workflow for greater efficiency.
Source: clickup.com
20 Obsidian Alternatives: Top Note-Taking Tools to Consider
Hive comes with multiple ways to view your notes, including Kanban, table, calendar, and portfolio. This project management app also features time-tracking capabilities and collaborative note-taking.
Source: clickup.com
16 Best Asana Alternatives of 2024 (Free + Paid)
Hive is a relatively new Asana alternative that serves businesses of all sizes. It has features that help manage teams, foster collaboration and automate workflows. It’s one of the easier-to-use apps on this list, with accessible and responsible customer service. There’s a template library to help get you started, too. Advanced analytics help with budgeting and users can...
A Jack of All Trades vs Dedicated Workflow Management
It’s a very solid all-rounder, but there is a reason they say a Jack of all trades is a master of none. Hive excels in terms of how much stuff it offers. You really can do all your work from Hive. The biggest selling point is you don’t need to have multiple tabs open in your browser, you can work within the same tab where Hive is loaded in, switching between the menu options...

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...

Social recommendations and mentions

Based on our record, Scikit-learn should be more popular than Hive. It has been mentiond 31 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.

Hive mentions (9)

  • Best app for a calendar/time block to do list
    I use Hive hive.com , which is also a project management tool. I sync it with my google calendar for work-related things and with my calendar app on iPhone for home/family-related things. Guess I could use just one calendar and use tags, but this system works best for me. What I like about Hive is that I can create a time block right from my task dashboard, the app also let me start notes from a meeting straight... Source: almost 2 years ago
  • ClickUp Release Notes 2.174
    You could check out hive.com. Quite OK, though not as good as ClickUp. But free as a single user. Source: about 2 years ago
  • Project Management Software Recommendation for Creative Agency
    Try out https://hive.com/. We tried it out and it wasn't quite what we needed it for, but it seems great for project management. They even had a desktop app and it was free! Oh an internal chat and email integration too. Source: about 2 years ago
  • Breaking Into Legal Tech
    Make • Build and automate workflows InvoiceBerry • Online invoicing for small businesses Gusto • Payroll, benefits and HR management Hive • Manage tasks, workflows and team’s work Lanva • Social video editing app. ClickUp • Manage tasks, docs, chat, goals and more Plausible • Open-source privacy-friendly web analytics Podcast Hawk • Podcast guest booking software. Writesonic • AI-driven content... Source: over 2 years ago
  • PM tool suggestions for personal use and transferrable skills
    Another pjm-tool for personal use which is worth checking out is Hive. Loads of features for free, even Gantt-charts. And it is possible to export data in xml (in gantt-view). Source: over 2 years ago
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Scikit-learn mentions (31)

  • Must-Know 2025 Developer’s Roadmap and Key Programming Trends
    Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 3 months ago
  • 🚀 Launching a High-Performance DistilBERT-Based Sentiment Analysis Model for Steam Reviews 🎮🤖
    Scikit-learn (optional): Useful for additional training or evaluation tasks. - Source: dev.to / 5 months ago
  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize data splitting tools in libraries like Scikit-learn to partition your dataset. Make sure the split mirrors the real-world distribution of your data to avoid biased evaluations. - Source: dev.to / 11 months ago
  • 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 / about 1 year 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 / almost 2 years ago
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What are some alternatives?

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

Wrike - Wrike is a flexible, scalable, and easy-to-use collaborative work management software that helps high-performance teams organize and accomplish their work. Try it now.

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

Asana - Asana project management is an effort to re-imagine how we work together, through modern productivity software. Fast and versatile, Asana helps individuals and groups get more done.

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

Basecamp - A simple and elegant project management system.

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