Alternatives to Azure Open Datasets
Compare Azure Open Datasets alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Azure Open Datasets in 2026. Compare features, ratings, user reviews, pricing, and more from Azure Open Datasets competitors and alternatives in order to make an informed decision for your business.
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1
Vertex AI
Google
Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case. Through Vertex AI Workbench, Vertex AI is natively integrated with BigQuery, Dataproc, and Spark. You can use BigQuery ML to create and execute machine learning models in BigQuery using standard SQL queries on existing business intelligence tools and spreadsheets, or you can export datasets from BigQuery directly into Vertex AI Workbench and run your models from there. Use Vertex Data Labeling to generate highly accurate labels for your data collection. Vertex AI Agent Builder enables developers to create and deploy enterprise-grade generative AI applications. It offers both no-code and code-first approaches, allowing users to build AI agents using natural language instructions or by leveraging frameworks like LangChain and LlamaIndex. -
2
Azure Managed Redis
Microsoft
Azure Managed Redis features the latest Redis innovations, industry-leading availability, and a cost-effective Total Cost of Ownership (TCO) designed for the hyperscale cloud. Azure Managed Redis delivers these capabilities on a trusted cloud platform, empowering businesses to scale and optimize their generative AI applications seamlessly. Azure Managed Redis brings the latest Redis innovations to support high-performance, scalable AI applications. With features like in-memory data storage, vector similarity search, and real-time processing, it enables developers to handle large datasets efficiently, accelerate machine learning, and build faster AI solutions. Its interoperability with Azure OpenAI Service enables AI workloads to be faster, scalable, and ready for mission-critical use cases, making it an ideal choice for building modern, intelligent applications. -
3
Oumi
Oumi
Oumi is a fully open source platform that streamlines the entire lifecycle of foundation models, from data preparation and training to evaluation and deployment. It supports training and fine-tuning models ranging from 10 million to 405 billion parameters using state-of-the-art techniques such as SFT, LoRA, QLoRA, and DPO. The platform accommodates both text and multimodal models, including architectures like Llama, DeepSeek, Qwen, and Phi. Oumi offers tools for data synthesis and curation, enabling users to generate and manage training datasets effectively. For deployment, it integrates with popular inference engines like vLLM and SGLang, ensuring efficient model serving. The platform also provides comprehensive evaluation capabilities across standard benchmarks to assess model performance. Designed for flexibility, Oumi can run on various environments, from local laptops to cloud infrastructures such as AWS, Azure, GCP, and Lambda.Starting Price: Free -
4
DataChain
iterative.ai
DataChain connects unstructured data in cloud storage with AI models and APIs, enabling instant data insights by leveraging foundational models and API calls to quickly understand your unstructured files in storage. Its Pythonic stack accelerates development tenfold by switching to Python-based data wrangling without SQL data islands. DataChain ensures dataset versioning, guaranteeing traceability and full reproducibility for every dataset to streamline team collaboration and ensure data integrity. It allows you to analyze your data where it lives, keeping raw data in storage (S3, GCP, Azure, or local) while storing metadata in inefficient data warehouses. DataChain offers tools and integrations that are cloud-agnostic for both storage and computing. With DataChain, you can query your unstructured multi-modal data, apply intelligent AI filters to curate data for training and snapshot your unstructured data, the code for data selection, and any stored or computed metadata.Starting Price: Free -
5
Visual Layer
Visual Layer
Visual Layer is a platform for working with large volumes of image and video data. It supports visual search, filtering, tagging, and dataset structuring across raw files, metadata, and labels. No code is required, and both technical and non-technical teams use it in production. Common applications include curating datasets for machine learning, auditing visual content for compliance, reviewing surveillance material, and preparing media for downstream platforms. The platform detects duplicates, mislabeled items, outliers, and low-quality files to improve data quality before model training or operational decision-making. It is model-agnostic, supports both cloud and on-premise deployment, and is built by the creators of Fastdup, the widely used open-source tool for visual deduplication.Starting Price: $200/month -
6
Microsoft Foundry Models
Microsoft
Microsoft Foundry Models is a unified model catalog that gives enterprises access to more than 11,000 AI models from Microsoft, OpenAI, Anthropic, Mistral AI, Meta, Cohere, DeepSeek, xAI, and others. It allows teams to explore, test, and deploy models quickly using a task-centric discovery experience and integrated playground. Organizations can fine-tune models with ready-to-use pipelines and evaluate performance using their own datasets for more accurate benchmarking. Foundry Models provides secure, scalable deployment options with serverless and managed compute choices tailored to enterprise needs. With built-in governance, compliance, and Azure’s global security framework, businesses can safely operationalize AI across mission-critical workflows. The platform accelerates innovation by enabling developers to build, iterate, and scale AI solutions from one centralized environment. -
7
Microsoft Graph Data Connect
Microsoft
Microsoft Graph is your organization's gateway to Microsoft 365 data for productivity, identity, and security. Microsoft Graph Data Connect enables developers to copy select Microsoft 365 datasets into Azure data stores in a secure and scalable way. It's ideal for training machine learning and AI models that uncover rich organizational insights and deliver new value to analytics solutions. Copy data at scale from a Microsoft 365 tenant and move it directly into Azure Data Factory without writing code. Get the data you need, delivered to your application on a repeatable schedule, in just a few simple steps. Control how your organization's data is accessed with the Microsoft Graph Data Connect granular consent model. It requires that developers specify exactly what types of data or filter content their application will access. Likewise, administrators must give explicit approval to access Microsoft 365 data before access is granted.Starting Price: $0.75 per 1K objects extracted -
8
Amazon Nova Forge
Amazon
Amazon Nova Forge is a groundbreaking service that enables organizations to build their own frontier models by leveraging early Nova checkpoints and proprietary data. It provides complete flexibility across the full training lifecycle, including pre-training, mid-training, supervised fine-tuning, and reinforcement learning. With access to Nova-curated datasets and responsible AI tooling, customers can create powerful and safer custom models tailored to their domain. Nova Forge allows teams to mix their own datasets at the peak learning stage to maximize accuracy while preventing catastrophic forgetting. Companies across industries—from Reddit to Sony—use Nova Forge to consolidate ML workflows, accelerate innovation, and outperform specialized models. Hosted securely on AWS, it offers the most cost-effective, streamlined path to building next-generation AI systems. -
9
Hugging Face
Hugging Face
Hugging Face is a leading platform for AI and machine learning, offering a vast hub for models, datasets, and tools for natural language processing (NLP) and beyond. The platform supports a wide range of applications, from text, image, and audio to 3D data analysis. Hugging Face fosters collaboration among researchers, developers, and companies by providing open-source tools like Transformers, Diffusers, and Tokenizers. It enables users to build, share, and access pre-trained models, accelerating AI development for a variety of industries.Starting Price: $9 per month -
10
Lilac
Lilac
Lilac is an open source tool that enables data and AI practitioners to improve their products by improving their data. Understand your data with powerful search and filtering. Collaborate with your team on a single, centralized dataset. Apply best practices for data curation, like removing duplicates and PII to reduce dataset size and lower training cost and time. See how your pipeline impacts your data using our diff viewer. Clustering is a technique that automatically assigns categories to each document by analyzing the text content and putting similar documents in the same category. This reveals the overarching structure of your dataset. Lilac uses state-of-the-art algorithms and LLMs to cluster the dataset and assign informative, descriptive titles. Before we do advanced searching, like concept or semantic search, we can immediately use keyword search by typing a keyword in the search box.Starting Price: Free -
11
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 -
12
Anzo
Cambridge Semantics
Anzo is a modern data discovery and integration platform that lets anyone find, connect and blend any enterprise data into analytics-ready datasets. Anzo’s unique use of semantics and graph data models makes it practical for the first time for virtually anyone in your organization – from skilled data scientists to novice business users – to drive the data discovery and integration process and build their own analytics-ready datasets. Anzo’s graph data models provide business users with a visual map of enterprise data that is easy to understand and navigate, even when your data is vast, siloed and complex. Semantics add business content to data, allowing users to harmonize data based on shared definitions and build blended, business-ready data on demand. -
13
SuperAnnotate
SuperAnnotate
SuperAnnotate is the world's leading platform for building the highest quality training datasets for computer vision and NLP. With advanced tooling and QA, ML and automation features, data curation, robust SDK, offline access, and integrated annotation services, we enable machine learning teams to build incredibly accurate datasets and successful ML pipelines 3-5x faster. By bringing our annotation tool and professional annotators together we've built a unified annotation environment, optimized to provide integrated software and services experience that leads to higher quality data and more efficient data pipelines. -
14
Azure Confidential Computing
Microsoft
Azure Confidential Computing increases data privacy and security by protecting data while it’s being processed, rather than only when stored or in transit. It encrypts data in memory within hardware-based trusted execution environments, only allowing computation to proceed after the cloud platform verifies the environment. This approach helps prevent access by cloud providers, administrators, or other privileged users. It supports scenarios such as multi-party analytics, allowing different organisations to contribute encrypted datasets and perform joint machine learning without revealing underlying data to each other. Users retain full control of their data and code, specifying which hardware and software can access it, and can migrate existing workloads with familiar tools, SDKs, and cloud infrastructure. -
15
FieldDay
FieldDay
Unlock the world of AI and Machine Learning right on your phone with FieldDay. We’ve taken the complexity out of creating machine learning models and turned it into an engaging, hands-on experience that’s as simple as using your camera. FieldDay allows you to create custom AI apps and embed them in your favourite tools, using just your phone. Feed FieldDay examples to learn from, and generate a custom model ready to be embedded in your app/project. A range of projects and apps driven by custom FieldDay machine learning models. Our range of integrations and export options simplifies the process of embedding a machine-learning model into the platform you prefer. With FieldDay, you can collect data directly from your phone’s camera. Our bespoke interface is designed for easy and intuitive annotation during collection, so you can build a custom dataset in no time. FieldDay lets you preview and correct your models in real-time.Starting Price: $19.99 per month -
16
Azure Analysis Services
Microsoft
Use Azure Resource Manager to create and deploy an Azure Analysis Services instance within seconds, and use backup restore to quickly move your existing models to Azure Analysis Services and take advantage of the scale, flexibility and management benefits of the cloud. Scale up, scale down, or pause the service and pay only for what you use. Combine data from multiple sources into a single, trusted BI semantic model that’s easy to understand and use. Enable self-service and data discovery for business users by simplifying the view of data and its underlying structure. Reduce time-to-insights on large and complex datasets. Fast response times mean your BI solution can meet the needs of your business users and keep pace with your business. Connect to real-time operational data using DirectQuery and closely watch the pulse of your business. Visualize your data using your favorite data visualization tool.Starting Price: $0.81 per hour -
17
Azure Synapse Analytics
Microsoft
Azure Synapse is Azure SQL Data Warehouse evolved. Azure Synapse is a limitless analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless or provisioned resources—at scale. Azure Synapse brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs. -
18
Azure Managed Grafana
Microsoft
Azure Managed Grafana is a fully managed service for analytics and monitoring solutions. It's supported by Grafana Enterprise, which provides extensible data visualizations. Quickly and easily deploy Grafana dashboards with built-in high availability and control access with Azure security. Access a wide variety of data sources supported by Grafana Enterprise and connect to your data stores in Azure and elsewhere. Combine charts, logs, and alerts to create one holistic view of your application and infrastructure. Correlate information across multiple datasets. Share Grafana dashboards with people inside and outside of your organization. Allow others to contribute to solution monitoring and troubleshooting.Starting Price: $0.085 per hour -
19
Shaip
Shaip
Shaip offers end-to-end generative AI services, specializing in high-quality data collection and annotation across multiple data types including text, audio, images, and video. The platform sources and curates diverse datasets from over 60 countries, supporting AI and machine learning projects globally. Shaip provides precise data labeling services with domain experts ensuring accuracy in tasks like image segmentation and object detection. It also focuses on healthcare data, delivering vast repositories of physician audio, electronic health records, and medical images for AI training. With multilingual audio datasets covering 60+ languages and dialects, Shaip enhances conversational AI development. The company ensures data privacy through de-identification services, protecting sensitive information while maintaining data utility. -
20
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 -
21
Google Earth Engine
Google
Google Earth Engine is a cloud-based platform for scientific analysis and visualization of geospatial datasets, providing access to a vast public data archive that includes over 90 petabytes of analysis-ready satellite imagery and more than 1,000 curated geospatial datasets. This extensive catalog encompasses over 50 years of historical imagery, updated daily, with resolutions as fine as one meter per pixel, featuring datasets such as Landsat, MODIS, Sentinel, and the National Agriculture Imagery Program (NAIP). Earth Engine enables users to analyze Earth observation data and apply machine learning techniques through its web-based JavaScript Code Editor and Python API, facilitating the development of complex geospatial workflows. The platform's integration with Google Cloud allows for large-scale parallel processing, empowering users to conduct comprehensive analyses and visualize Earth data efficiently. Additionally, Earth Engine offers interoperability with BigQuery.Starting Price: $500 per month -
22
DataStock
PromptCloud
Instantly download clean and ready-to-use web datasets. These datasets are ideal for performing analyses, deriving insights and training machine learning algorithms. Teaching machines to perform complex tasks demands huge amounts of data. DataStock can help you meet your Machine Learning Projects And Training requirements. Datasets provided by DataStock include millions of records with customer reviews and can be used to build a text corpora for Natural Language Processing. Sentiment Analysis helps understand the feelings, attitudes, emotions and opinions from user-generated content. DataStock is a great fit if you’re in search for data to perform Sentiment Analyses. With massive amounts of data at your disposal, it’s easy to perform timeline analysis and perform trend spotting for a quick peek into the future. DataStock is essentially a web store where you can buy datasets that are structured data sets from websites spanning across domains like Retail, Healthcare, and Recruitment.Starting Price: $20 -
23
Simplismart
Simplismart
Fine-tune and deploy AI models with Simplismart's fastest inference engine. Integrate with AWS/Azure/GCP and many more cloud providers for simple, scalable, cost-effective deployment. Import open source models from popular online repositories or deploy your own custom model. Leverage your own cloud resources or let Simplismart host your model. With Simplismart, you can go far beyond AI model deployment. You can train, deploy, and observe any ML model and realize increased inference speeds at lower costs. Import any dataset and fine-tune open-source or custom models rapidly. Run multiple training experiments in parallel efficiently to speed up your workflow. Deploy any model on our endpoints or your own VPC/premise and see greater performance at lower costs. Streamlined and intuitive deployment is now a reality. Monitor GPU utilization and all your node clusters in one dashboard. Detect any resource constraints and model inefficiencies on the go. -
24
Bitext
Bitext
Bitext provides multilingual, hybrid synthetic training datasets specifically designed for intent detection and LLM fine‑tuning. These datasets blend large-scale synthetic text generation with expert curation and linguistic annotation, covering lexical, syntactic, semantic, register, and stylistic variation, to enhance conversational models’ understanding, accuracy, and domain adaptation. For example, their open source customer‑support dataset features ~27,000 question–answer pairs (≈3.57 million tokens), 27 intents across 10 categories, 30 entity types, and 12 language‑generation tags, all anonymized to comply with privacy, bias, and anti‑hallucination standards. Bitext also offers vertical-specific datasets (e.g., travel, banking) and supports over 20 industries in multiple languages with more than 95% accuracy. Their hybrid approach ensures scalable, multilingual training data, privacy-compliant, bias-mitigated, and ready for seamless LLM improvement and deployment.Starting Price: Free -
25
Voxel51
Voxel51
FiftyOne by Voxel51 - the most powerful visual AI and computer vision data platform. Without the right data, even the smartest AI models fail. FiftyOne gives machine learning engineers the power to deeply understand and evaluate their visual datasets—across images, videos, 3D point clouds, geospatial, and medical data. With over 2.8 million open source installs and customers like Walmart, GM, Bosch, Medtronic, and the University of Michigan Health, FiftyOne is an indispensable tool for building computer vision systems that work in the real world, not just in the lab. FiftyOne streamlines visual data curation and model analysis with workflows to simplify the labor-intensive processes of visualizing and analyzing insights during data curation and model refinement—addressing a major challenge in large-scale data pipelines with billions of samples. Proven impact with FiftyOne: ⬆️30% increase in model accuracy ⏱️5+ months of development time saved 📈30% boost in productivityStarting Price: $0 -
26
OCI Data Labeling
Oracle
OCI Data Labeling is a service that enables developers and data scientists to build accurately labelled datasets for training AI and machine-learning models. It supports documents (PDF, TIFF), images (JPEG, PNG), and text, allowing users to upload raw data, apply annotations (such as classification labels, object-detection bounding boxes, or key-value pairs), and export the results in line-delimited JSON for seamless integration into model-training workflows. The service offers custom templates for different annotation formats, user interfaces, and public APIs for dataset creation and management, and smooth interoperability with other data and AI services, so annotated data can feed directly into custom vision or language models, as well as Oracle’s AI services. OCI Data Labeling lets users create a dataset, generate records, annotate them, and then use the export snapshot for model development.Starting Price: $0.0002 per 1,000 transactions -
27
Cleanlab
Cleanlab
Cleanlab Studio handles the entire data quality and data-centric AI pipeline in a single framework for analytics and machine learning tasks. Automated pipeline does all ML for you: data preprocessing, foundation model fine-tuning, hyperparameter tuning, and model selection. ML models are used to diagnose data issues, and then can be re-trained on your corrected dataset with one click. Explore the entire heatmap of suggested corrections for all classes in your dataset. Cleanlab Studio provides all of this information and more for free as soon as you upload your dataset. Cleanlab Studio comes pre-loaded with several demo datasets and projects, so you can check those out in your account after signing in. -
28
Azure Container Registry
Microsoft
Build, store, secure, scan, replicate, and manage container images and artifacts with a fully managed, geo-replicated instance of OCI distribution. Connect across environments, including Azure Kubernetes Service and Azure Red Hat OpenShift, and across Azure services like App Service, Machine Learning, and Batch. Geo-replication to efficiently manage a single registry across multiple regions. OCI artifact repository for adding helm charts, singularity support, and new OCI artifact-supported formats. Automated container building and patching including base image updates and task scheduling. Integrated security with Azure Active Directory (Azure AD) authentication, role-based access control, Docker content trust, and virtual network integration. Streamline building, testing, pushing, and deploying images to Azure with Azure Container Registry Tasks.Starting Price: $0.167 per day -
29
Nexis Data+
LexisNexis
Transform information into action with one customizable API that delivers all the data you need, exactly how you need it, with credible data across a variety of use cases, geographies, and industries. Whether you’re driving growth, forecasting trends, or managing risk, Nexis Data+ has the data you need to meet your business challenges head-on. Power your AI-driven machine learning, pattern discovery, and predictive analytics with comprehensive data to actively anticipate future outcomes and make well-informed decisions. Utilize diverse, extensive datasets to extract valuable insights and patterns. Leverage data to deepen your understanding, identify root causes, and enhance data-driven decision-making. Accelerate your research and development efforts by leveraging comprehensive data. Expedite projects, identify innovation opportunities, and stay ahead of the curve in market and product advancements. -
30
Tictag
Tictag
Your AI deserves the best data. With industry-leading 99% accuracy, take the stress out of getting your machine learning datasets on Tictag with our unique mobile data platform and Truetag quality control. Tictag's first-of-its-kind mobile data platform combines a user-friendly interface with gamified elements to produce the highest quality datasets, powered by our proprietary Truetag quality control system. This is technology-enhanced labeling at its best. Tictag efficiently collects and labels the most complex and intricate of datasets with near-100% accuracy for AI and ML models in short turnarounds. Data labeling has never been faster or easier. Do it once and do it right. Tictag's technology-augmented Truetag quality control ensures your data is exactly as you need it. Through Tictag, your data needs, in turn, help people who need another source of income, or a way to learn new skills. -
31
Labellerr
Labellerr
Labellerr is a data annotation platform designed to expedite the preparation of high-quality labeled datasets for AI and machine learning models. It supports various data types, including images, videos, text, PDFs, and audio, catering to diverse annotation needs. The platform offers automated annotation features, such as model-assisted labeling and active learning, to accelerate the labeling process. Additionally, Labellerr provides advanced analytics and smart quality assurance tools to ensure the accuracy and reliability of annotations. For projects requiring specialized knowledge, Labellerr offers expert-in-the-loop services, including access to professionals in fields like healthcare and automotive. -
32
Llama Guard
Meta
Llama Guard is an open-source safeguard model developed by Meta AI to enhance the safety of large language models in human-AI conversations. It functions as an input-output filter, classifying both prompts and responses into safety risk categories, including toxicity, hate speech, and hallucinations. Trained on a curated dataset, Llama Guard achieves performance on par with or exceeding existing moderation tools like OpenAI's Moderation API and ToxicChat. Its instruction-tuned architecture allows for customization, enabling developers to adapt its taxonomy and output formats to specific use cases. Llama Guard is part of Meta's broader "Purple Llama" initiative, which combines offensive and defensive security strategies to responsibly deploy generative AI models. The model weights are publicly available, encouraging further research and adaptation to meet evolving AI safety needs. -
33
Locomizer
Locomizer
Locomizer is a data-as-a-service platform that analyzes spatial big data generated by humans, powered by a proprietary machine-learning algorithm used for the measurement of human behavior in space and time. Clients can use Locomizer to precisely identify particular locations and times for connecting their products, services, and marketing messages with the right audiences. This renowned data-driven platform is currently catering to several noteworthy clients on a global scale. Locomizer specializes in driving sales by discovering target audiences to match with relevant products, services, and marketing activities. Locomizer’s Audience Discovery Platform (ADP) generates millions of dynamic datasets of geographically distributed audiences with the target behavioral properties. These datasets are then leveraged to extract critical insights for businesses, research organizations, and data scientists, enabling real-world audience analytics in retail, advertising, property development, etc. -
34
Forage AI
Forage AI
Marketplace of ready-to-use datasets. Access accurate, reliable data effortlessly from thousands of public websites, social media, and other online platforms. Advanced language models swiftly extract data with precision, contextual understanding, and flexibility. AI cuts through data noise with contextual understanding for precise results and delivers clean datasets, reducing manual validation. Streamlined unstructured data extraction from diverse sources, tracking content changes, and ensuring accuracy with advanced algorithms. Accessible NLP with affordable pre-built functionalities. Engage with your data through inquiries for precise responses, tailored to your preferences. Access clean, reliably extracted data instantly. Forage AI guarantees high-quality data delivered on time with a battle-tested, multi-layered QA process. Our experts will guide, create, and maintain your system, including the most intricate integrations. -
35
DataHive AI
DataHive AI
DataHive provides high-quality, fully rights-owned datasets across text, image, video, and audio to power modern AI development. The platform sources, creates, and labels data through a global contributor network, ensuring accuracy, diversity, and commercial readiness. DataHive offers specialized datasets including e-commerce listings, customer reviews, multilingual speech, transcribed audio, global video collections, and original photo libraries. Each dataset is enriched with metadata such as pricing, sentiment, tags, engagement metrics, and contextual information. These resources support a wide range of use cases, from computer vision and ASR training to retail analytics, sentiment modeling, and entertainment AI research. Trusted by startups and Fortune 500 companies, DataHive is built to accelerate high-performance machine learning with reliable, scalable data. -
36
OpenPipe
OpenPipe
OpenPipe provides fine-tuning for developers. Keep your datasets, models, and evaluations all in one place. Train new models with the click of a button. Automatically record LLM requests and responses. Create datasets from your captured data. Train multiple base models on the same dataset. We serve your model on our managed endpoints that scale to millions of requests. Write evaluations and compare model outputs side by side. Change a couple of lines of code, and you're good to go. Simply replace your Python or Javascript OpenAI SDK and add an OpenPipe API key. Make your data searchable with custom tags. Small specialized models cost much less to run than large multipurpose LLMs. Replace prompts with models in minutes, not weeks. Fine-tuned Mistral and Llama 2 models consistently outperform GPT-4-1106-Turbo, at a fraction of the cost. We're open-source, and so are many of the base models we use. Own your own weights when you fine-tune Mistral and Llama 2, and download them at any time.Starting Price: $1.20 per 1M tokens -
37
Phi-4
Microsoft
Phi-4 is a 14B parameter state-of-the-art small language model (SLM) that excels at complex reasoning in areas such as math, in addition to conventional language processing. Phi-4 is the latest member of our Phi family of small language models and demonstrates what’s possible as we continue to probe the boundaries of SLMs. Phi-4 is currently available on Azure AI Foundry under a Microsoft Research License Agreement (MSRLA) and will be available on Hugging Face. Phi-4 outperforms comparable and larger models on math related reasoning due to advancements throughout the processes, including the use of high-quality synthetic datasets, curation of high-quality organic data, and post-training innovations. Phi-4 continues to push the frontier of size vs quality. -
38
Edge Impulse
Edge Impulse
Build advanced embedded machine learning applications without a PhD. Collect sensor, audio, or camera data directly from devices, files, or cloud integrations to build custom datasets. Leverage automatic labeling tools from object detection to audio segmentation. Set up and run reusable scripted operations that transform your input data on large sets of data in parallel by using our cloud infrastructure. Integrate custom data sources, CI/CD tools, and deployment pipelines with open APIs. Accelerate custom ML pipeline development with ready-to-use DSP and ML algorithms. Make hardware decisions based on device performance and flash/RAM every step of the way. Customize DSP feature extraction algorithms and create custom machine learning models with Keras APIs. Fine-tune your production model with visualized insights on datasets, model performance, and memory. Find the perfect balance between DSP configuration and model architecture, all budgeted against memory and latency constraints. -
39
YData
YData
Adopting data-centric AI has never been easier with automated data quality profiling and synthetic data generation. We help data scientists to unlock data's full potential. YData Fabric empowers users to easily understand and manage data assets, synthetic data for fast data access, and pipelines for iterative and scalable flows. Better data, and more reliable models delivered at scale. Automate data profiling for simple and fast exploratory data analysis. Upload and connect to your datasets through an easily configurable interface. Generate synthetic data that mimics the statistical properties and behavior of the real data. Protect your sensitive data, augment your datasets, and improve the efficiency of your models by replacing real data or enriching it with synthetic data. Refine and improve processes with pipelines, consume the data, clean it, transform your data, and work its quality to boost machine learning models' performance. -
40
Azure Marketplace
Microsoft
Azure Marketplace is a comprehensive online store that provides access to thousands of certified, ready-to-use software applications, services, and solutions from Microsoft and third-party vendors. It enables businesses to discover, purchase, and deploy software directly within the Azure cloud environment. The marketplace offers a wide range of products, including virtual machine images, AI and machine learning models, developer tools, security solutions, and industry-specific applications. With flexible pricing options like pay-as-you-go, free trials, and subscription models, Azure Marketplace simplifies the procurement process and centralizes billing through a single Azure invoice. It supports seamless integration with Azure services, enabling organizations to enhance their cloud infrastructure, streamline workflows, and accelerate digital transformation initiatives. -
41
Kled
Kled
Kled is a secure, crypto-powered AI data marketplace that connects content rights holders with AI developers by providing high‑quality, ethically sourced datasets, spanning video, audio, music, text, transcripts, and behavioral data, for training generative AI models. It handles end-to-end licensing: it curates, labels, and rates datasets for accuracy and bias, manages contracts and payments securely, and offers custom dataset creation and discovery via a marketplace. Rights holders can upload original content, choose licensing terms, and earn KLED tokens, while developers gain access to premium data for responsible AI model training. Kled also supplies monitoring and recognition tools to ensure authorized usage and to detect misuse. Built for transparency and compliance, the system bridges IP owners and AI builders through a powerful yet user-friendly interface. -
42
Maxim
Maxim
Maxim is an agent simulation, evaluation, and observability platform that empowers modern AI teams to deploy agents with quality, reliability, and speed. Maxim's end-to-end evaluation and data management stack covers every stage of the AI lifecycle, from prompt engineering to pre & post release testing and observability, data-set creation & management, and fine-tuning. Use Maxim to simulate and test your multi-turn workflows on a wide variety of scenarios and across different user personas before taking your application to production. Features: Agent Simulation Agent Evaluation Prompt Playground Logging/Tracing Workflows Custom Evaluators- AI, Programmatic and Statistical Dataset Curation Human-in-the-loop Use Case: Simulate and test AI agents Evals for agentic workflows: pre and post-release Tracing and debugging multi-agent workflows Real-time alerts on performance and quality Creating robust datasets for evals and fine-tuning Human-in-the-loop workflowsStarting Price: $29/seat/month -
43
Tune Studio
NimbleBox
Tune Studio is an intuitive and versatile platform designed to streamline the fine-tuning of AI models with minimal effort. It empowers users to customize pre-trained machine learning models to suit their specific needs without requiring extensive technical expertise. With its user-friendly interface, Tune Studio simplifies the process of uploading datasets, configuring parameters, and deploying fine-tuned models efficiently. Whether you're working on NLP, computer vision, or other AI applications, Tune Studio offers robust tools to optimize performance, reduce training time, and accelerate AI development, making it ideal for both beginners and advanced users in the AI space.Starting Price: $10/user/month -
44
Microsoft Discovery
Microsoft
Microsoft Discovery is a new agentic platform designed to revolutionize research and development (R&D) by empowering scientists and engineers with AI-driven collaboration and high-performance computing (HPC). Built on Azure, this platform enables researchers to work alongside specialized AI agents that help accelerate the discovery process through advanced knowledge reasoning, hypothesis formulation, and experimental simulations. The platform's graph-based knowledge engine facilitates complex, contextual reasoning over vast amounts of scientific data, promoting transparency and accountability while speeding up the discovery cycle. By automating and enhancing research tasks, Microsoft Discovery offers an extensible, enterprise-ready solution that integrates seamlessly with existing tools and datasets. -
45
2markdown
2markdown
2markdown simplifies the process of transforming URLs, code, and HTML into structured markdown, empowering AI models with access to rich website content. Whether you’re enhancing AI context, training datasets, or integrating content into applications, 2markdown ensures seamless operation and efficiency. With its simple interface and efficient processing, 2markdown ensures quick and accurate data extraction. It’s perfect for AI developers, researchers, and analysts looking to streamline the preparation of web data for machine learning models and research purposes. -
46
Qubole
Qubole
Qubole is a simple, open, and secure Data Lake Platform for machine learning, streaming, and ad-hoc analytics. Our platform provides end-to-end services that reduce the time and effort required to run Data pipelines, Streaming Analytics, and Machine Learning workloads on any cloud. No other platform offers the openness and data workload flexibility of Qubole while lowering cloud data lake costs by over 50 percent. Qubole delivers faster access to petabytes of secure, reliable and trusted datasets of structured and unstructured data for Analytics and Machine Learning. Users conduct ETL, analytics, and AI/ML workloads efficiently in end-to-end fashion across best-of-breed open source engines, multiple formats, libraries, and languages adapted to data volume, variety, SLAs and organizational policies. -
47
Vaex
Vaex
At Vaex.io we aim to democratize big data and make it available to anyone, on any machine, at any scale. Cut development time by 80%, your prototype is your solution. Create automatic pipelines for any model. Empower your data scientists. Turn any laptop into a big data powerhouse, no clusters, no engineers. We provide reliable and fast data driven solutions. With our state-of-the-art technology we build and deploy machine learning models faster than anyone on the market. Turn your data scientist into big data engineers. We provide comprehensive training of your employees, enabling you to take full advantage of our technology. Combines memory mapping, a sophisticated expression system, and fast out-of-core algorithms. Efficiently visualize and explore big datasets, and build machine learning models on a single machine. -
48
Rendered.ai
Rendered.ai
Overcome challenges in acquiring data for machine learning and AI systems training. Rendered.ai is a PaaS designed for data scientists, engineers, and developers. Generate synthetic datasets for ML/AI training and validation. Experiment with sensor models, scene content, and post-processing effects. Characterize and catalog real and synthetic datasets. Download or move data to your own cloud repositories for processing and training. Power innovation and increase productivity with synthetic data as a capability. Build custom pipelines to model diverse sensors and computer vision inputs. Start quickly with free, customizable Python sample code to model SAR, RGB satellite imagery, and more sensor types. Experiment and iterate with flexible licensing that enables nearly unlimited content generation. Create labeled content rapidly in a hosted, high-performance computing environment. Enable collaboration between data scientists and data engineers with a no-code configuration experience. -
49
Heartex
Heartex
Data labeling software that makes your AI smart — Data labeling tool for various data types — Automatically label up-to 95% of your dataset using Machine Learning and Active Learning — Manage training data in one place. Control quality, and privacy -
50
NVIDIA RAPIDS
NVIDIA
The RAPIDS suite of software libraries, built on CUDA-X AI, gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs. It relies on NVIDIA® CUDA® primitives for low-level compute optimization, but exposes that GPU parallelism and high-bandwidth memory speed through user-friendly Python interfaces. RAPIDS also focuses on common data preparation tasks for analytics and data science. This includes a familiar DataFrame API that integrates with a variety of machine learning algorithms for end-to-end pipeline accelerations without paying typical serialization costs. RAPIDS also includes support for multi-node, multi-GPU deployments, enabling vastly accelerated processing and training on much larger dataset sizes. Accelerate your Python data science toolchain with minimal code changes and no new tools to learn. Increase machine learning model accuracy by iterating on models faster and deploying them more frequently.
