Best Artificial Intelligence Software for Google Colab
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Compare the Top Artificial Intelligence Software that integrates with Google Colab as of July 2025
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This a list of Artificial Intelligence software that integrates with Google Colab. Use the filters on the left to add additional filters for products that have integrations with Google Colab. View the products that work with Google Colab in the table below.
What is Artificial Intelligence Software for Google Colab?
Artificial Intelligence (AI) software is computer technology designed to simulate human intelligence. It can be used to perform tasks that require cognitive abilities, such as problem-solving, data analysis, visual perception and language translation. AI applications range from voice recognition and virtual assistants to autonomous vehicles and medical diagnostics. Compare and read user reviews of the best Artificial Intelligence software for Google Colab currently available using the table below. This list is updated regularly.
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1
Windsurf Editor
Windsurf
The Windsurf Editor is a free AI-powered IDE and AI coding assistant that accelerates development by providing intelligent code generation and agents in over 70 programming languages and more than 40 IDEs, including VSCode, JetBrains, and Jupyter Notebooks. With Windsurf, developers can write code faster, eliminate repetitive tasks, and stay in the flow state—whether they're working with Python, JavaScript, C++, or any other language. Built on billions of lines of open-source code, Windsurf Editor understands and anticipates your coding needs, offering multiline suggestions, automated unit tests, and even natural language explanations for complex functions. It’s perfect for streamlining code writing, reducing boilerplate, and cutting down the time spent on documentation searches. Trusted by individual developers and Fortune 500 companies alike, Windsurf Editor is your go-to solution for boosting productivity and writing better code. Try Windsurf for free today!Starting Price: Free -
2
BLACKBOX AI
BLACKBOX AI
BLACKBOX AI is an advanced AI-powered platform designed to accelerate coding, app development, and deep research tasks. It features an AI Coding Agent that supports real-time voice interaction, GPU acceleration, and remote parallel task execution. Users can convert Figma designs into functional code and transform images into web applications with minimal coding effort. The platform enables screen sharing within IDEs like VSCode and offers mobile access to coding agents. BLACKBOX AI also supports integration with GitHub repositories for streamlined remote workflows. Its capabilities extend to website design, app building with PDF context, and image generation and editing.Starting Price: Free -
3
neptune.ai
neptune.ai
Neptune.ai is a machine learning operations (MLOps) platform designed to streamline the tracking, organizing, and sharing of experiments and model-building processes. It provides a comprehensive environment for data scientists and machine learning engineers to log, visualize, and compare model training runs, datasets, hyperparameters, and metrics in real-time. Neptune.ai integrates easily with popular machine learning libraries, enabling teams to efficiently manage both research and production workflows. With features that support collaboration, versioning, and experiment reproducibility, Neptune.ai enhances productivity and helps ensure that machine learning projects are transparent and well-documented across their lifecycle.Starting Price: $49 per month -
4
MusicGen
MusicGen
Meta's MusicGen is an open source, deep-learning language model that can generate short pieces of music based on text prompts. The model was trained on 20,000 hours of music, including whole tracks and individual instrument samples. The model will generate 12 seconds of audio based on the description you provided. You can optionally provide reference audio from which a broad melody will be extracted. The model will then try to follow both the description and melody provided. All samples are generated with the melody model. You can also use your own GPU or a Google Colab by following the instructions on our repo. MusicGen is comprised of a single-stage transformer LM together with efficient token interleaving patterns, which eliminates the need for cascading several models. MusicGen can generate high-quality samples, while being conditioned on textual description or melodic features, allowing better control over the generated output.Starting Price: Free -
5
DeOldify
DeOldify
DeOldify is a state-of-the-art way to colorize black-and-white images. You can try it right now by visiting the free Google Colab notebook for photos or videos. The notebooks are open source and available to all. To see the evolution of DeOldify, check out the GitHub project and archive. For examples of the most cutting-edge work in restoration and colorization, please contact us. The best version of DeOldify is exclusively available on MyHeritage. MyHeritage provides several choices to ensure all your photos look their best in color. Share these vibrant images with your family and friends to delight them, and start your free trial today.Starting Price: Free -
6
HyperCrawl
HyperCrawl
HyperCrawl is the first web crawler designed specifically for LLM and RAG applications and develops powerful retrieval engines. Our focus was to boost the retrieval process by eliminating the crawl time of domains. We introduced multiple advanced methods to create a novel approach to building an ML-first web crawler. Instead of waiting for each webpage to load one by one (like standing in line at the grocery store), it asks for multiple web pages at the same time (like placing multiple online orders simultaneously). This way, it doesn’t waste time waiting and can move on to other tasks. By setting a high concurrency, the crawler can handle multiple tasks simultaneously. This speeds up the process compared to handling only a few tasks at a time. HyperLLM reduces the time and resources needed to open new connections by reusing existing ones. Think of it like reusing a shopping bag instead of getting a new one every time.Starting Price: Free -
7
Taipy
Taipy
From simple pilots to production-ready web applications in no time. No more compromise on performance, customization, and scalability. Taipy enhances performance with caching control of graphical events, optimizing rendering by selectively updating graphical components only upon interaction. Effortlessly manage massive datasets with Taipy's built-in decimator for charts, intelligently reducing the number of data points to save time and memory without losing the essence of your data's shape. Struggle with sluggish performance and excessive memory usage, as every data point demands processing. Large datasets become cumbersome, complicating the user experience and data analysis. Scenarios are made easy with Taipy Studio. A powerful VS Code extension that unlocks a convenient graphical editor. Get your methods invoked at a certain time or intervals. Enjoy a variety of predefined themes or build your own.Starting Price: $360 per month -
8
TensorBoard
Tensorflow
TensorBoard is TensorFlow's comprehensive visualization toolkit designed to facilitate machine learning experimentation. It enables users to track and visualize metrics such as loss and accuracy, visualize the model graph (operations and layers), view histograms of weights, biases, or other tensors as they change over time, project embeddings to a lower-dimensional space, and display images, text, and audio data. Additionally, TensorBoard offers profiling capabilities to optimize TensorFlow programs. These features collectively provide a suite of tools to understand, debug, and optimize TensorFlow programs, enhancing the machine learning workflow. In machine learning, to improve something you often need to be able to measure it. TensorBoard is a tool for providing the measurements and visualizations needed during the machine learning workflow. It enables tracking experiment metrics, visualizing the model graph, and projecting embeddings to a lower dimensional space.Starting Price: Free -
9
Unsloth
Unsloth
Unsloth is an open source platform designed to accelerate and optimize the fine-tuning and training of Large Language Models (LLMs). It enables users to train custom models, such as ChatGPT, in just 24 hours instead of the typical 30 days, achieving speeds up to 30 times faster than Flash Attention 2 (FA2) while using 90% less memory. Unsloth supports both LoRA and QLoRA fine-tuning techniques, allowing for efficient customization of models like Mistral, Gemma, and Llama versions 1, 2, and 3. Unsloth's efficiency stems from manually deriving computationally intensive mathematical steps and handwriting GPU kernels, resulting in significant performance gains without requiring hardware modifications. Unsloth delivers a 10x speed increase on a single GPU and up to 32x on multi-GPU systems compared to FA2, with compatibility across NVIDIA GPUs from Tesla T4 to H100, and portability to AMD and Intel GPUs.Starting Price: Free -
10
Papira
Papira
Papira is an AI-powered writing assistant designed to streamline and personalize the writing process. It allows users to automate and customize their writing workflow using AI commands, facilitating the creation, editing, and management of documents with Markdown formatting. Users can apply tailored AI commands to generate text variations, fix grammar, and produce summaries. It offers a library of shared templates and the ability to design custom commands, making it adaptable to diverse writing tasks. Papira integrates leading language models like Anthropic, OpenAI, and Perplexity, providing flexibility for various writing styles and needs. It is accessible through a freemium model, with both free and pro plans available, offering expanded features for advanced users. Papira is available as a Google Colab notebook, allowing users to run the tool without needing to understand how to code.Starting Price: $15 per month -
11
Open Interpreter
Open Interpreter
Open Interpreter is an open source natural language interface for computers that enables users to execute code through conversational prompts in a terminal environment. It supports multiple programming languages, including Python, JavaScript, and Shell, allowing for a wide range of tasks such as data analysis, file management, and web browsing. It provides interactive mode commands to enhance user experience. Users can configure default behaviors using YAML files, facilitating flexible customization without altering command-line arguments each time. Open Interpreter can be integrated with FastAPI to create RESTful endpoints, enabling programmatic control over its functionalities. For safety, it prompts users for confirmation before executing code that interacts with the local environment, mitigating potential risks.Starting Price: Free -
12
Voxel51
Voxel51
Voxel51 is the company behind FiftyOne, the open-source toolkit that enables you to build better computer vision workflows by improving the quality of your datasets and delivering insights about your models. Explore, search, and slice your datasets. Quickly find the samples and labels that match your criteria. Use FiftyOne’s tight integrations with public datasets like COCO, Open Images, and ActivityNet, or create your own datasets from scratch. Data quality is a key limiting factor in model performance. Use FiftyOne to identify, visualize, and correct your model’s failure modes. Annotation mistakes lead to bad models, but finding mistakes by hand isn’t scalable. FiftyOne helps automatically find and correct label mistakes so you can curate higher-quality datasets. Aggregate performance metrics and manual debugging don’t scale. Use the FiftyOne Brain to identify edge cases, mine new samples for training, and much more. -
13
RagaAI
RagaAI
RagaAI is the #1 AI testing platform that helps enterprises mitigate AI risks and make their models secure and reliable. Reduce AI risk exposure across cloud or edge deployments and optimize MLOps costs with intelligent recommendations. A foundation model specifically designed to revolutionize AI testing. Easily identify the next steps to fix dataset and model issues. The AI-testing methods used by most today increase the time commitment and reduce productivity while building models. Also, they leave unforeseen risks, so they perform poorly post-deployment and thus waste both time and money for the business. We have built an end-to-end AI testing platform that helps enterprises drastically improve their AI development pipeline and prevent inefficiencies and risks post-deployment. 300+ tests to identify and fix every model, data, and operational issue, and accelerate AI development with comprehensive testing. -
14
DagsHub
DagsHub
DagsHub is a collaborative platform designed for data scientists and machine learning engineers to manage and streamline their projects. It integrates code, data, experiments, and models into a unified environment, facilitating efficient project management and team collaboration. Key features include dataset management, experiment tracking, model registry, and data and model lineage, all accessible through a user-friendly interface. DagsHub supports seamless integration with popular MLOps tools, allowing users to leverage their existing workflows. By providing a centralized hub for all project components, DagsHub enhances transparency, reproducibility, and efficiency in machine learning development. DagsHub is a platform for AI and ML developers that lets you manage and collaborate on your data, models, and experiments, alongside your code. DagsHub was particularly designed for unstructured data for example text, images, audio, medical imaging, and binary files.Starting Price: $9 per month -
15
Gemma 3
Google
Gemma 3, introduced by Google, is a new AI model built on the Gemini 2.0 architecture, designed to offer enhanced performance and versatility. This model is capable of running efficiently on a single GPU or TPU, making it accessible for a wide range of developers and researchers. Gemma 3 focuses on improving natural language understanding, generation, and other AI-driven tasks. By offering scalable, powerful AI capabilities, Gemma 3 aims to advance the development of AI systems across various industries and use cases.Starting Price: Free -
16
Orpheus TTS
Canopy Labs
Canopy Labs has introduced Orpheus, a family of state-of-the-art speech large language models (LLMs) designed for human-level speech generation. These models are built on the Llama-3 architecture and are trained on over 100,000 hours of English speech data, enabling them to produce natural intonation, emotion, and rhythm that surpasses current state-of-the-art closed source models. Orpheus supports zero-shot voice cloning, allowing users to replicate voices without prior fine-tuning, and offers guided emotion and intonation control through simple tags. The models achieve low latency, with approximately 200ms streaming latency for real-time applications, reducible to around 100ms with input streaming. Canopy Labs has released both pre-trained and fine-tuned 3B-parameter models under the permissive Apache 2.0 license, with plans to release smaller models of 1B, 400M, and 150M parameters for use on resource-constrained devices. -
17
Modelbit
Modelbit
Don't change your day-to-day, works with Jupyter Notebooks and any other Python environment. Simply call modelbi.deploy to deploy your model, and let Modelbit carry it — and all its dependencies — to production. ML models deployed with Modelbit can be called directly from your warehouse as easily as calling a SQL function. They can also be called as a REST endpoint directly from your product. Modelbit is backed by your git repo. GitHub, GitLab, or home grown. Code review. CI/CD pipelines. PRs and merge requests. Bring your whole git workflow to your Python ML models. Modelbit integrates seamlessly with Hex, DeepNote, Noteable and more. Take your model straight from your favorite cloud notebook into production. Sick of VPC configurations and IAM roles? Seamlessly redeploy your SageMaker models to Modelbit. Immediately reap the benefits of Modelbit's platform with the models you've already built. -
18
3LC
3LC
Light up the black box and pip install 3LC to gain the clarity you need to make meaningful changes to your models in moments. Remove the guesswork from your model training and iterate fast. Collect per-sample metrics and visualize them in your browser. Analyze your training and eliminate issues in your dataset. Model-guided, interactive data debugging and enhancements. Find important or inefficient samples. Understand what samples work and where your model struggles. Improve your model in different ways by weighting your data. Make sparse, non-destructive edits to individual samples or in a batch. Maintain a lineage of all changes and restore any previous revisions. Dive deeper than standard experiment trackers with per-sample per epoch metrics and data tracking. Aggregate metrics by sample features, rather than just epoch, to spot hidden trends. Tie each training run to a specific dataset revision for full reproducibility. -
19
Gemma 2
Google
A family of state-of-the-art, light-open models created from the same research and technology that were used to create Gemini models. These models incorporate comprehensive security measures and help ensure responsible and reliable AI solutions through selected data sets and rigorous adjustments. Gemma models achieve exceptional comparative results in their 2B, 7B, 9B, and 27B sizes, even outperforming some larger open models. With Keras 3.0, enjoy seamless compatibility with JAX, TensorFlow, and PyTorch, allowing you to effortlessly choose and change frameworks based on task. Redesigned to deliver outstanding performance and unmatched efficiency, Gemma 2 is optimized for incredibly fast inference on various hardware. The Gemma family of models offers different models that are optimized for specific use cases and adapt to your needs. Gemma models are large text-to-text lightweight language models with a decoder, trained in a huge set of text data, code, and mathematical content. -
20
MinusX
MinusX
A Chrome extension that operates your analytics apps for you. MinusX is the fastest way to get insights from data. Interop with MinusX to modify or extend existing notebooks. Select an area and ask questions, or ask for modifications. MinusX works in your existing analytics tools like Jupyter Notebooks, Metabase, Tableau, etc. You can use minusx to create analyses and share results with your team, instantly. We have nuanced privacy controls on MinusX. Any data you share, will be used to train better, more accurate models). We never share your data with third parties. MinusX seamlessly integrates with existing tools. This means that you never have to get out of your workflow to answer questions. Since actions are first-class entities, MinusX can choose the right action for the right context. Currently, we support Claude Sonnet 3.5, GPT-4o and GPT-4o mini. We are also working on a way to let you bring your own models. -
21
Universal Sentence Encoder
Tensorflow
The Universal Sentence Encoder (USE) encodes text into high-dimensional vectors that can be utilized for tasks such as text classification, semantic similarity, and clustering. It offers two model variants: one based on the Transformer architecture and another on Deep Averaging Network (DAN), allowing a balance between accuracy and computational efficiency. The Transformer-based model captures context-sensitive embeddings by processing the entire input sequence simultaneously, while the DAN-based model computes embeddings by averaging word embeddings, followed by a feedforward neural network. These embeddings facilitate efficient semantic similarity calculations and enhance performance on downstream tasks with minimal supervised training data. The USE is accessible via TensorFlow Hub, enabling seamless integration into various applications. -
22
ClaimBuster
ClaimBuster
ClaimBuster is the umbrella under which all fact-checking related projects for the IDIR Lab fall under. It started as an effort to create an AI model that could automatically detect claims worth checking. Since then it has steadily made progress towards the holy grail of automated fact-checking. ClaimBuster is mainly used by journalists, but in reality, anyone interested in tackling misinformation can make use of it. Our API provides easy access to our models and is accessible by just registering for a free API key. ClaimBuster is made possible by human data-labeling contributions. Feel free to sign up for an account and begin labeling to help us deliver better models. We have also open-sourced our machine learning model training code, so if you are a savvy AI engineer feel free to make contributions there as well. Our claim-spotting model re-tweets tweets it thinks may need fact-checking. -
23
Chirp 3
Google
Google Cloud's Text-to-Speech API introduces Chirp 3, enabling users to create personalized voice models using their own high-quality audio recordings. This feature facilitates the rapid generation of custom voices, which can be utilized to synthesize audio through the Cloud Text-to-Speech API, supporting both streaming and long-form text. Access to this voice cloning capability is restricted to allow-listed users due to safety considerations; interested parties should contact the sales team to be added to the allowed list. Instant Custom Voice creation and synthesis are supported in various languages, including English (US), Spanish (US), and French (Canada), among others. It is available in multiple Google Cloud regions, and supported output formats include LINEAR16, OGG_OPUS, PCM, ALAW, MULAW, and MP3, depending on the API method used. -
24
CodeSquire
CodeSquire
Quickly write code by translating your comments into code, like in this example where we quickly create a Plotly bar chart. Create entire functions with ease, without searching for library methods and parameters. In this example, we created a function that loads df to AWS bucket in parquet format. Write SQL queries by providing CodeSquire with simple instructions on what you want to pull, join, and group by, like in the following example where we are trying to determine the top 10 most common names. CodeSquire can even help you understand someone else’s code, just ask to explain the function above, and get your explanation in plain text. CodeSquire can help you create complex functions that involve several logic steps. Brainstorm with it by starting simple and adding more complex features as you go.
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