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What can developer do with DeepAI
DeepAI's agent for visual tasks
Discover the latest A.I. research
Learn top data science & A.I. terms
Track the latest news coverage in A.I.
Discover datasets for A.I. & data science
What can developer do with lobe.ai
Designed to be easy enough for anyone to use. No code or experience required.
Train for free on your own computer without uploading your data to the cloud.
Available for Mac and Windows. Export your model and ship it on any platform you choose
What can developer do with Levity AI
Feed Levity with images, PDFs or text data and the categories to learn from.
Your custom AI block learns from your data with the click of a button.
Connect Levity to your apps and automate your workflow end-to-end.
How much does Levity AI cost?
For businesses that want to use AI to transform their processes and reach next level productivity.
What can developer do with Liner
Import your data and view it within Liner. You can also use a pre-labeled dataset.
With a press of a button Liner will automatically choose an appropriate model and train it.
Export your model to a variety of platforms and easily integrate it with your application.
How much does Liner cost?
Liner is completely free to use! Liner is a free and easy-to-use tool that runs on both Windows and Mac.
What can developer do with Nuclia
How does Nuclia bring search to the next level?
What can developer do with Paperspace Gradient
How much does Paperspace Gradient cost?
For beginners, explorers, & adventurous learners
For ML engineers, data scientists, & researchers
For ML engineers, data scientists, and researchers
For teams, research groups, & startups
For professional teams building applications at scale
What can developer do with Kaggle
Kaggle offers a no-setup, customizable, Jupyter Notebooks environment. Access GPUs at no cost to you and a huge repository of community published data & code. Inside Kaggle you’ll find all the code & data you need to do your data science work. Use over 50,000 public datasets and 400,000 public notebooks to conquer any analysis in no time.
How much does Kaggle cost?
Everything on Kaggle is completely free: courses, certificates obtained from courses, datasets, participation in competitions, discussion sections, etc.
What can developer do with Google Colab
Colab, or ‘Colaboratory’, allows you to write and execute Python in your browser, with
Whether you're a student, a data scientist or an AI researcher, Colab can make your work easier.
How much does Google Colab cost?
What can developer do with Weblab
Evaluate code cells and immediately see the output.
Weblab supports the Jupyter-Notebook format.
How much does Weblab cost?
What can developer do with Deepnote
We built collaboration into Deepnote by default because data teams don’t work alone. Deepnote runs seamlessly in the cloud, making environment management a non-issue. And sharing work is as easy as sending a link (think Google Docs).
Deepnote works with the tools and frameworks you’re already using and familiar with. Use Python, SQL, R, TensorFlow, PyTorch, and any of your favorite languages or frameworks. Easily connect to data sources with dozens of native integrations.
We created Deepnote to make you more productive. Whether you work in a team or by yourself, Deepnote helps you clean your data, write complex queries, build predictive models, and ship beautiful apps.
Secure by default by following the industry best practices like fine-grained access controls, SSO support or on-premise deployments.
How much does Deepnote cost?
For individuals who want to experience the full power of Deepnote. $0/editor/month
For data teams who need to collaborate and share their work. $39/editor/month
For organizations with more computation and security needs. Custom
What can developer do with MindsDB
Merge the capabilities of your database with popular ML frameworks to radically simplify the process of applying machine learning to applications.
AI Tables behave just like standard database tables. Using familiar SQL statements – time series, regression, and classification models can be trained and deployed automatically. Power simple or complex ML workflows without the burdensome overhead of traditional ML.
How much does MindsDB cost?
$0.70 /hr What’s included beyond the open source edition:
Start solving your business problems with ML, without hours spent configuring MindsDB and instances
Integrations developed, tested and maintained by MindsDB – cuts down the time spent debugging and troubleshooting
Have your ML questions answered by our ML engineers in a dedicated Slack channel
Bring a custom/pre-trained model to MindsDB and hook it up directly to the database. No complicated data pipelines or model serving architectures required
What can developer do with SERP AI
How much does SERP AI cost?
What can developer do with Jupyter Notebook
Jupyter supports over 40 programming languages, including Python, R, Julia, and Scala.
Notebooks can be shared with others using email, Dropbox, GitHub and the Jupyter Notebook Viewer.
Your code can produce rich, interactive output: HTML, images, videos, LaTeX, and custom MIME types.
Leverage big data tools, such as Apache Spark, from Python, R, and Scala. Explore that same data with pandas, scikit-learn, ggplot2, and TensorFlow.
How much does Jupyter Notebook cost?
Open source and free
What can developer do with Noteable
Seamlessly connect to your data no matter where it's stored, featuring native integrations with BigQuery, Snowflake, Databricks, and more. Plus easily and securely connect to external APIs.
Native SQL support within a Python notebook gives you the flexibility to work with data the way you want without sacrificing collaboration.
Configure your own compute and share credentials and important data across teams
No matter your code level, turn your data into stories with the largest library of built-in visualizations.
Go deeper on collaboration by commenting on anything - all the way down to specific data points.
Work together and simultaneously from anywhere without worrying about losing your work.
Schedule notebooks to run automatically, even within your existing production pipelines.
Noteable allows you to work from a clone of a remote Git repository.
Share your data's story with easy-to-build, easy-to-share, and customizable published notebooks.
How much does Noteable cost?
What can developer do with CoCalc
CoCalc provides an interactive web-based Jupyter notebook that supports many popular kernels (such as Python, Julia, R, and SageMath) and allows for simultaneous collaboration between project members with seamless synchronization.
Our notebooks also include a unique feature called TimeTravel which enables users to recover their previous work and directly visualize what other collaborators have contributed to the file.
How much does CoCalc cost?
What can developer do with NextJournal
Create public or private groups to work with your collaborators under a shared profile or invite them on a per-notebook basis. Secrets can be shared among collaborators.
All edits to a Nextjournal notebook are commit-less and synchronized in real-time among connected clients. This allows editing of a notebook by multiple authors at the same time.
Enabled by immutability, “Remix” allows you to quickly build off a copy of any previously published notebook, including all of its dependencies.
The entire file system can be published as Docker image with a single click. These images can be pulled to run locally or reused in other Nextjournal notebooks.
In Nextjournal, you can use multiple programming language runtimes together in a single notebook. Values can be exchanged between runtimes using files.
Runtimes are Docker containers that are orchestrated by a separate “Runner” application. This allow resetting an individual runtimes state without affecting other runtimes.
Nextjournal can install anything as long as a runtime offers Bash. Environment variables can be set for each runtime through a UI.
We offer default environments for various languages and use cases that come pre-populated with libraries for plotting, number crunching and more.
Every notebook that is run, gets its own compute instance provisioned automatically. We keep a pool of small runners around with 4GB of RAM per instance that will boot instantly. Larger instances are available on-demand. When your computation is done, we shut it down automatically to save costs on idling machines.
Currently, we have full support for up to 8 NVIDIA Tesla K80, P100 or P100 Workstation GPUs per runtime with minimal setup necessary.
Besides uploading files, Nextjournal notebooks can bring in private data from S3 and Google Cloud Storage. You can also clone private GitHub repositories or import images from Docker Hub.
Secrets can be added to your account’s private secrets storage that lives outside notebooks and computational environments. Secrets are stored securely in Vault and can only be read by your profile.
How much does NextJournal cost?
What can developer do with Apache Zeppelin
Not only you can use Zeppelin as interactive notebook, you can also use it as JobServer via Zeppelin SDK (client api & session api)
Spark interpreter provides comparable Python & R user experience like Jupyter Notebook. For the details, click here.
Flink interpreter is refactored, supports Scala, Python & SQL. Flink 1.10 and afterwards (Scala 2.11 & 2.12) are all supported. For the details, click here.
You can run interpreter in yarn cluster, e.g. you can run Python interpreter in yarn and R interpreter in yarn.
Generic ConfInterpreter provide a way configure interpreter inside each note.
Interpreter lifecycle manager automatically terminate interpreter process on idle timeout. So resources are released when they're not in use. See here for more details.
How much does Apache Zeppelin cost?
What can developer do with Hex
Use the right tool for the right job, in Hex’s beautiful, polyglot notebooks.
Generate, edit, debug, and explain your code with a built-in AI assistant.
Visualize datasets of any size using charts, formattable tables, pivots, maps, and more.
Explore metrics from dbt’s Semantic Layer, without writing code. Plus, a first-class docs integration.
How much does Hex cost?
👋🏽 About Machine Learning
Machine learning is a type of artificial intelligence (AI) that allows computer systems to learn and improve from experience without being explicitly programmed. It involves the use of algorithms and statistical models to enable a system to improve its performance on a specific task over time.
In machine learning, a system is typically trained on a large dataset, and the algorithms and models are used to identify patterns and relationships in the data. The system can then use this knowledge to make predictions or decisions about new data. For example, a machine learning system might be trained on a dataset of images of animals, and it would use this training to identify new images of animals.
Machine learning has many applications, such as in image and speech recognition, natural language processing, and predictive analytics. It is an important area of study in computer science and has the potential to revolutionize many fields.
👋🏽 What is this page?
"What is the best Machine Learning tool for developer? " Hope this page answering your question. This is a comparison page of recommended Machine Learning coding tools, for developer by developer. Find your next top Machine Learning alternative programming tools here. We list features and pricing with hope this resources can help you decide which Machine Learning tools you need and best for your next project.
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