Find and compare the best AI Tools for Jupyter Notebook in 2024
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Use the comparison tool below to compare the top AI Tools for Jupyter Notebook on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.
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Codeium
Exafunction
Free 75 RatingsCodeium is the modern code superpower. It's a free AI-powered code acceleration toolkit. Codeium currently provides AI-generated autocomplete in more than 20 programming languages (including Python and JS, Java, TS, Java and Go) and integrates directly to the developer's IDE (VSCode, JetBrains or Jupyter notebooks. Colab, Vim / Neoovim, etc. Codeium generates multiline code suggestions in a matter of seconds. This will eliminate the need to search for APIs and documentation, write boilerplate and unit test scripts, and many other tedious or frustrating tasks. Codeium is a training platform that allows you to quickly develop on billions of lines. It also helps you stay in the flow and lets you become the best coder you can be. -
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BLACKBOX AI
BLACKBOX AI
Free 1 RatingAvailable in more than 20 programming languages, including Python, JavaScript and TypeScript, Ruby, TypeScript, Go, Ruby and many others. BLACKBOX AI code search was created so that developers could find the best code fragments to use when building amazing products. Integrations with IDEs include VS Code and Github Codespaces. Jupyter Notebook, Paperspace, and many more. C#, Java, C++, C# and SQL, PHP, Go and TypeScript are just a few of the languages that can be used to search code in Python, Java and C++. It is not necessary to leave your coding environment in order to search for a specific function. Blackbox allows you to select the code from any video and then simply copy it into your text editor. Blackbox supports all programming languages and preserves the correct indentation. The Pro plan allows you to copy text from over 200 languages and all programming languages. -
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Tabnine is the AI coding assistant that you control — helping development teams of every size use AI to accelerate and simplify the software development process without sacrificing privacy, security, or compliance. Tabnine boosts engineering velocity, code quality, and developer happiness by automating the coding workflow through AI tools customized to your team. Tabnine is trusted by more than 1,000,000 developers across thousands of organizations. Tabnine offers best-in-class AI code completion and an AI-powered chat and supports numerous use cases such as code generation, explanation of code, creating unit tests, generating documentation, debugging code, refactoring and maintaining code. Tabnine is integrated with all the major IDEs such as VS Code, JetBrains, Visual Studio, Eclipse. It supports over 80 programming languages and frameworks including JavaScript, TypeScript, Python, Java, C, C++, C#, Go, Php, Ruby, Kotlin, Dart, Rust, React/Vue, HTML 5, CSS, Lua, Perl, YAML, Cuda, SQL, Scala, Shell (bash), Swift, R, Julia, VB, Groovy, Matlab, Terraform, ABAP and more.
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mutable.ai
MutableAI
$15 per seat per monthAI allows you to build fast and produce high quality code. Create high-quality code quickly. AI Autocomplete allows you to quickly prototype. AI Autocomplete transforms your prototype into a production-quality code. Our specialized neural networks reduce the time spent on boilerplate and on StackOverFlow. Refactor, document, add types. To modify your code, give instructions directly to the AI. Are you tired of writing tests? We've got you covered. Automate the generation of unit tests using AI and metaprogramming. We believe that AI is the future of software development. Our long-term goal is to allow programmers to think at the speed of thought. We believe that the AI advances will open up new programming methods beyond the pre-AI accelerated stack. These new programming methods won't look like an IDE or version control system. -
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PostgresML
PostgresML
$.60 per hourPostgresML is an entire platform that comes as a PostgreSQL Extension. Build simpler, faster and more scalable model right inside your database. Explore the SDK, and test open-source models in our hosted databases. Automate the entire workflow, from embedding creation to indexing and Querying for the easiest (and fastest) knowledge based chatbot implementation. Use multiple types of machine learning and natural language processing models, such as vector search or personalization with embeddings, to improve search results. Time series forecasting can help you gain key business insights. SQL and dozens regression algorithms allow you to build statistical and predictive models. ML at database layer can detect fraud and return results faster. PostgresML abstracts data management overheads from the ML/AI cycle by allowing users to run ML/LLM on a Postgres Database. -
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Forloop
Forloop
$29 per monthForloop is a platform that automates external data without requiring any code. Access the latest market data and go beyond your internal limitations to adapt faster, track changes in the market, and support pricing strategy. Data outside your company can provide better insights. Forloop allows you to choose between a platform that is ideal for prototyping, and production-ready pipelines on the cloud of your choosing. Access and extract data that is not API-based, such as from websites, maps or third party platforms. Get recommendations on how best to clean, join and aggregate data based on the best data science practices. No-code tools can be used to clean, join and transform data into a model-ready format. Intelligent algorithms will solve data quality issues. Our platform has helped our users increase their KPIs by as much as a factor 10. New data can help you improve your decision-making process and increase your growth. Forloop desktop app is available for download and local testing. -
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HyperCrawl
HyperCrawl
FreeHyperCrawl, the first web crawler specifically designed for LLM and RAG application development, develops powerful retrieval engine. We wanted to speed up retrieval by reducing the crawl time for domains. We used multiple advanced methods to build a web crawler that is ML-first. It does not wait for each page to load individually (like standing in a grocery store line), but instead requests multiple web pages simultaneously (like placing several online orders at once). It can then move on to other tasks without wasting time. The crawler can handle several tasks at once by setting a high concurrency. This speeds up the process when compared to only handling a few tasks. HyperLLM saves time and resources by reusing the existing connections. Imagine reusing your shopping bag rather than buying a new one each time. -
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CodeSquire
CodeSquire
You can quickly write code by translating your comments to code. This example shows how you can quickly create a Plotly Bar chart. You can quickly create entire functions without needing to search for parameters or library methods. This example shows how to load df from AWS bucket in parquet format. CodeSquire will allow you to create SQL queries. All you need to do is provide simple instructions about what you want to pull and join. CodeSquire can help you understand code from another person. Simply ask CodeSquire to explain the function and get your explanation in plain English. CodeSquire can help with complex functions that require multiple logic steps. You can brainstorm with it by starting small and adding more complex features along the way.
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