Software Alternatives, Accelerators & Startups
Register | Login

Scikit-learn VS Play.ht

Compare Scikit-learn VS Play.ht and see what are their differences

Momen
Build powerful web apps, and create your custom AI apps, no code needed! featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Play.ht logo Play.ht

AI Voice and Speech Generation tool
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • Play.ht Landing page
    Landing page //
    2023-05-11

Play.ht offers some of the best AI voices to help you create realistic AI voiceovers for your videos, presentations, education and other projects. Play.ht's state-of-the-art Text to Speech editor allows you to create the voiceover according to your needs. You can use multiple AI voices to create conversation-like audio and use full SSML features to enhance your audio.

Play.ht also allows you to embed and distribute your audio files. You can embed the audio using our audio player widgets to increase accessibility on your articles or web-pages. You can use our Podcasting solution to distribute your audio files as podcasts to iTunes and Spotify.

Try Play.ht for free - https://play.ht/

Scikit-learn

Website
scikit-learn.org
Pricing URL
-
$ Details
Platforms
-
Release Date
-
Edit details

Play.ht

Website
play.ht
Pricing URL
Official Play.ht Pricing
$ Details
freemium $14.0 / Monthly (240,000 Words)
Platforms
Web
Release Date
2017 August
Edit details

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.

Play.ht features and specs

  • AI Voices
    570+ AI Voices and 57 Languages
  • Rights
    Full Commercial & Broadcasting Rights
  • Speech Styles
    Expressive Emotional Speech Styles
  • Pronunciations
    Create Custom Pronunciations
  • Voice features
    Multi-voice Feature
  • Revisions & Downloads
    Unlimited Previews, Revisions & Downloads
  • Custom Pauses
    Custom Pauses

Analysis of Scikit-learn

Overall verdict

  • Yes, Scikit-learn is generally regarded as a good library for machine learning, especially for beginners and intermediate users who need reliable tools with efficient implementation of numerous algorithms.

Why this product is good

  • Scikit-learn is considered a good machine learning library because it provides a wide range of state-of-the-art algorithms for supervised and unsupervised learning. It is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy. The library is well-documented, easy to use, and has a consistent API that simplifies the integration of different algorithms. Furthermore, there's a strong community and continuous development, which means it is well-maintained and updated regularly with new features and improvements.

Recommended for

  • Beginners learning machine learning concepts and application.
  • Data scientists and engineers looking for a robust and efficient toolkit to build and deploy machine learning models.
  • Researchers who need an easy-to-use library that facilitates the experimentation of various algorithms.
  • Developers who require a seamless, Python-based machine learning library that integrates well with other data analysis tools and environments.

Analysis of Play.ht

Overall verdict

  • Play.ht is a strong choice for those seeking a reliable and versatile text-to-speech solution. However, its suitability can depend on specific needs such as the diversity of available languages, voice quality preferences, and budget.

Why this product is good

  • Play.ht is a text-to-speech service known for its high-quality synthetic voices that can be used for podcasts, voiceovers, and other audio content. It offers a variety of natural-sounding voices, multilingual support, and customization features. Users appreciate its user-friendly interface, the ability to fine-tune speech synthesis, and the option to download audio files in different formats.

Recommended for

  • Content creators who need AI-generated voiceovers for podcasts or videos.
  • Businesses looking to add voice features to their applications or services.
  • Individuals who require assistive technology for reading text content aloud.
  • Developers seeking TTS API integration options.

Scikit-learn videos

+ Add

Learning Scikit-Learn (AI Adventures)

More videos:

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

Play.ht videos

+ Add

Basic Features | Play.ht

Category Popularity

0-100% (relative to Scikit-learn and Play.ht)

Scikit-learn

Play.ht

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
AI
0 0%
AI
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Text To Speech
0 0%
Text To Speech
100% 100

User comments

Share your experience with using Scikit-learn and Play.ht. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

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

Play.ht Reviews

11 Best AI Voice Generators to Explore in 2024
Play.ht is a top-notch AI voice generator loved by big brands such as Verizon and Comcast. This makes it perfect for businesses who want the best quality. With over 900 voices in 142 different languages and accents, it offers great variety. This text-to-speech tool has a special feature called Play Agents for creating AI voice agents. It has a pronunciation library for...
Source: www.animotica.com
13 Best AI Voice Generators (March 2023) for Natural Text-to-Speech
Play.ht is a voice generation service that is being professionally used for voicing their customer support systems by 7000+ teams and some very large enterprises. If you need AI voice generation at a scale, Play.ht is your best bet.
Source: nerdynav.com
The Best AI Voice Generator for 2023
Play.ht is a text-to-speech tool that uses AI to generate natural-sounding voices in over 140 languages and accents. It offers a variety of features for enhancing and customizing audio, including speech styles, voice inflections, and custom pronunciations. Users can preview their text before converting it to speech, and the resulting audio files can be securely stored and...
Source: webninja.ai
10 Best AI Voice Generators
A powerful AI text-to-speech generator, Play.ht relies on AI to generate audio and voices from IBM, Microsoft, Amazon, and Google. The tool is especially useful for converting text into natural voices, and it allows you to download the voice-over as MP3 and WAV files.
Source: www.unite.ai
How To Convert Articles Into Audio Podcast 2022: (Top Pick)
Bottomline : When we watch a video on YouTube, we always look for something of good quality, whether it is a video or simple audio matters less since the sound is what we usually look for. Now, in the same way, we prefer listening to something rather than reading it, especially because it can get quite frustrating to scroll and space out randomly. This all is eliminated when...
Source: www.bloggersideas.com

Social recommendations and mentions

Based on our record, Play.ht should be more popular than Scikit-learn. It has been mentiond 67 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.

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 / 4 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 / 6 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 / about 1 year 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 / over 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 / about 2 years ago
View more

Play.ht mentions (67)

  • The ultimate open source stack for building AI agents
    Next, for text-to-speech (TTS), tools like Play.ht give you lifelike voices with custom accents and tone controls, while OpenVoice lets you clone voices like you’re building your own mini Morgan Freeman. - Source: dev.to / about 2 months ago
  • Getting Started with ElevenLabs API
    PlayHT: Over 900 voices across 142+ languages with voice cloning features. - Source: dev.to / about 2 months ago
  • Show HN: My Voice AI clone interviews you, then writes your LI / X posts
    ### Why did I build this? 1. LinkedIn and X are b2b lead goldmines. But generating content is hard. You have to figure out what to say. If you're like me, you have trouble coming up with social post ideas when staring at a blank screen. But interesting ideas arrive when I step away from my laptop and talk to people. Also, it's hard to compose the content in a way that appeases the platform algorithms. 2. I want to... - Source: Hacker News / 9 months ago
  • [D] What offline TTS Model is good enough for a realistic real-time task?
    There aren't really any models that produce realistic real-time voice. I'd recommend ElevenLabs or play.ht, sadly these seem to be the only useable options for now. Source: over 1 year ago
  • Where can I find an online resource of voice cloning?
    I've used play.ht before. Very easy to use. Source: almost 2 years ago
View more

What are some alternatives?

When comparing Scikit-learn and Play.ht, you can also consider the following products

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

Murf AI - Lifelike voiceovers in minutes.

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

NaturalReader - Main Feature: Full Common Functions: Read Text Files o Text files o MS Word files

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

Blogcast - Turn your articles into audio

Loading...