Alternatives to Flyte
Compare Flyte alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Flyte in 2026. Compare features, ratings, user reviews, pricing, and more from Flyte competitors and alternatives in order to make an informed decision for your business.
-
1
Jotform
Jotform
Trusted by over 25 million users, Jotform is an all-in-one, no-code platform that simplifies data collection, automation, and online sales. Using its drag-and-drop Form Builder, businesses can create customized forms and surveys to collect leads, payments, and e-signatures. With 10,000+ templates and advanced features like conditional logic and 200+ integrations, Jotform streamlines workflows. Jotform's AI-powered Agents provide real-time customer support, guiding users through form submissions, answering questions, and ensuring a smooth experience while reducing manual intervention. These AI agents learn from interactions to improve responses, enhancing efficiency and customer satisfaction. The platform also includes a Store Builder to sell products and services, accept payments through 30+ gateways, and tools like Approvals and Report Builder to automate workflows and generate actionable insights. -
2
Runpod
Runpod
Runpod offers a cloud-based platform designed for running AI workloads, focusing on providing scalable, on-demand GPU resources to accelerate machine learning (ML) model training and inference. With its diverse selection of powerful GPUs like the NVIDIA A100, RTX 3090, and H100, Runpod supports a wide range of AI applications, from deep learning to data processing. The platform is designed to minimize startup time, providing near-instant access to GPU pods, and ensures scalability with autoscaling capabilities for real-time AI model deployment. Runpod also offers serverless functionality, job queuing, and real-time analytics, making it an ideal solution for businesses needing flexible, cost-effective GPU resources without the hassle of managing infrastructure. -
3
Union Cloud
Union.ai
Union.ai is an award-winning, Flyte-based data and ML orchestrator for scalable, reproducible ML pipelines. With Union.ai, you can write your code locally and easily deploy pipelines to remote Kubernetes clusters. “Flyte’s scalability, data lineage, and caching capabilities enable us to train hundreds of models on petabytes of geospatial data, giving us an edge in our business.” — Arno, CTO at Blackshark.ai “With Flyte, we want to give the power back to biologists. We want to stand up something that they can play around with different parameters for their models because not every … parameter is fixed. We want to make sure we are giving them the power to run the analyses.” — Krishna Yeramsetty, Principal Data Scientist at Infinome “Flyte plays a vital role as a key component of Gojek's ML Platform by providing exactly that." — Pradithya Aria Pura, Principal Engineer at GojStarting Price: Free (Flyte) -
4
Singular
Singular
Singular empowers marketers to futureproof their growth with next-gen attribution and analytics. We provide a holistic solution that combines mobile attribution with industry-leading cost aggregation, flexible ROI analytics, and automatic loading directly into your BI tools. With Singular you are able to - Measure and report on all the channels you work with - Analyze ROI by combining attribution with leading cost aggregation - Track and analyze across the entire user lifecycle - Block more fraud with best-in-class fraud prevention - Monitor a single managed pipeline with a plug-and-play solution to extract, transform and load analysis-ready marketing data into your chosen data warehouse Top marketers from LinkedIn, Rovio, Microsoft, Lyft, Twitter, EA, and more, rely on Singular for a complete view of their marketing performance. -
5
Amazon DynamoDB
Amazon
Amazon DynamoDB is a key-value and document database that delivers single-digit millisecond performance at any scale. It's a fully managed, multi-region, Multimaster, durable database with built-in security, backup and restore, and in-memory caching for internet-scale applications. DynamoDB can handle more than 10 trillion requests per day and can support peaks of more than 20 million requests per second. Many of the world's fastest-growing businesses such as Lyft, Airbnb, and Redfin as well as enterprises such as Samsung, Toyota, and Capital One depend on the scale and performance of DynamoDB to support their mission-critical workloads. Focus on driving innovation with no operational overhead. Build out your game platform with player data, session history, and leaderboards for millions of concurrent users. Use design patterns for deploying shopping carts, workflow engines, inventory tracking, and customer profiles. DynamoDB supports high-traffic, extreme-scaled events. -
6
Metaflow
Netflix
Successful data science projects are delivered by data scientists who can build, improve, and operate end-to-end workflows independently, focusing more on data science, less on engineering. Use Metaflow with your favorite data science libraries, such as Tensorflow or SciKit Learn, and write your models in idiomatic Python code with not much new to learn. Metaflow also supports the R language. Metaflow helps you design your workflow, run it at scale, and deploy it to production. It versions and tracks all your experiments and data automatically. It allows you to inspect results easily in notebooks. Metaflow comes packaged with the tutorials, so getting started is easy. You can make copies of all the tutorials in your current directory using the metaflow command line interface. -
7
Ray
Anyscale
Develop on your laptop and then scale the same Python code elastically across hundreds of nodes or GPUs on any cloud, with no changes. Ray translates existing Python concepts to the distributed setting, allowing any serial application to be easily parallelized with minimal code changes. Easily scale compute-heavy machine learning workloads like deep learning, model serving, and hyperparameter tuning with a strong ecosystem of distributed libraries. Scale existing workloads (for eg. Pytorch) on Ray with minimal effort by tapping into integrations. Native Ray libraries, such as Ray Tune and Ray Serve, lower the effort to scale the most compute-intensive machine learning workloads, such as hyperparameter tuning, training deep learning models, and reinforcement learning. For example, get started with distributed hyperparameter tuning in just 10 lines of code. Creating distributed apps is hard. Ray handles all aspects of distributed execution.Starting Price: Free -
8
ZenML
ZenML
Simplify your MLOps pipelines. Manage, deploy, and scale on any infrastructure with ZenML. ZenML is completely free and open-source. See the magic with just two simple commands. Set up ZenML in a matter of minutes, and start with all the tools you already use. ZenML standard interfaces ensure that your tools work together seamlessly. Gradually scale up your MLOps stack by switching out components whenever your training or deployment requirements change. Keep up with the latest changes in the MLOps world and easily integrate any new developments. Define simple and clear ML workflows without wasting time on boilerplate tooling or infrastructure code. Write portable ML code and switch from experimentation to production in seconds. Manage all your favorite MLOps tools in one place with ZenML's plug-and-play integrations. Prevent vendor lock-in by writing extensible, tooling-agnostic, and infrastructure-agnostic code.Starting Price: Free -
9
UnionML
Union
Creating ML apps should be simple and frictionless. UnionML is an open-source Python framework built on top of Flyte™, unifying the complex ecosystem of ML tools into a single interface. Combine the tools that you love using a simple, standardized API so you can stop writing so much boilerplate and focus on what matters: the data and the models that learn from them. Fit the rich ecosystem of tools and frameworks into a common protocol for machine learning. Using industry-standard machine learning methods, implement endpoints for fetching data, training models, serving predictions (and much more) to write a complete ML stack in one place. Data science, ML engineering, and MLOps practitioners can all gather around UnionML apps as a way of defining a single source of truth about your ML system’s behavior. -
10
Lyft Business
Lyft
Great things start with a reliable ride. Do more than just get people from A to B: make the ride matter with ground transportation solutions and experiences from Lyft Business that build relationships and drive results. Lyft Business designs transportation solutions and programs that drive your business forward, reward your people, and upgrade your experience. Turn ground transportation into growth with clear visibility into transportation trends. Boost engagement and satisfaction with reliable ground transportation, rewards, and in-app customizations. Make your job easier and keep your people safe with 24/7 support, dedicated account management teams, and reporting tools. Offer travelers easy expensing and personal rewards, plus get insights into their ground transportation habits. Send rides to the people who matter to your organization — no smartphone required. -
11
Lyft
Lyft
Lyft is an on-demand rideshare and driver booking app. We built our services with your safety in mind. All riders and drivers agree to wear masks. You can see car and driver details right there in your app. Easily share route info with friends or family. Or request assistance in case of emergency. If you ever need it, we’re standing by, ready to help. -
12
Anodot
Anodot
Anodot applies AI to deliver autonomous analytics in real-time, across all data types, at enterprise scale. Unlike the manual limitations of traditional Business Intelligence, we provide analysts mastery over their business with a self-service AI platform that runs continuously to eliminate blind spots, alert incidents, and investigate root causes. Our platform uses patented machine learning algorithms to isolate issues and correlate them across multiple parameters. This helps eliminate business insight latency and supports smart, rapid business decision-making. Anodot has nearly 100 customers in digital transformation industries like eCommerce, FinTech, AdTech, Telco, Gaming, including Microsoft, Lyft, Waze, and King. Founded in 2014, Anodot is headquartered in Silicon Valley and Israel, with Sales offices worldwide. -
13
GoodTime
GoodTime
GoodTime transforms the way companies hire — with human-centric AI that orchestrates every step of the journey. From screening to scheduling to candidate communications and more, our AI agents eliminate delays, reduce manual work, and keep hiring moving fast. They take action at the right moments, surfacing insights, advancing top talent, and keeping your team in the loop every step of the way. Trusted by global teams at Priceline, Lyft, and Hubspot to power people-first hiring at scale, GoodTime delivers faster hires, smarter decisions, and standout candidate experiences. With advanced features like automated multi-day interview scheduling, SMS and WhatsApp communication, workflow automation, intelligent interviewer selection, and powerful data and benchmarking reports, we’re helping enterprise companies cut their time-to-hire in half. Learn more at goodtime.io -
14
VivoCabs
FATbit Technologies
VivoCabs is a readymade ride-hailing software designed to help entrepreneurs and businesses build and launch their own ride-hailing apps like Uber, Lyft, or Bolt. The software equips all essential features, functionalities, and business APIs to build a fully functional ride-hailing app. With a focus on scalability, user experience, and customization, VivoCabs enables businesses to launch their apps quickly and cost-efficiently, focusing strongly on rapid market entry. The solution includes feature-rich rider and driver apps for both Android and iOS platforms, a robust web admin panel for efficient management, and a professional landing page to attract and engage customers.Starting Price: $1499 -
15
Syngency
Syngency
Take your talent to the next level with Syngency Mobile. Whether you’re a model, actor, voice over actor, influencer, comedian, or all of the above; managing your schedule and career has never been easier or more exciting! Accept and view upcoming bookings, manage your calendar, create a bookout, upload photos and videos to your gallery, and chat with your agent in real-time via our messenger. You can also see where your next job is, view its location, get directions to it in Google Maps, and instantly book a ride with Uber or Lyft. Even view and download attachments such as plane tickets and audition scripts. A full schedule of upcoming jobs, call times, production details, fees, map assisted- directions, and on-location check-ins. There are no restrictions on your data. Import and export via CSV with ease. Full media backups can be provided on request.Starting Price: $99 per user per month -
16
Dribbble
Dribbble
Discover the world’s top designers & creatives. Tens of millions of people look for design inspiration and feedback on Dribbble. We help players like you share small screenshots (shots) to show off your current projects, boost your portfolio, and love what you do—no matter what kind of creative professional you are. Founded in 2009, we are a bootstrapped and profitable company helping design talent share, grow, and get hired by over 40,000 of today’s most innovative brands around the world. Dribbble is the go-to resource for discovering and connecting with designers and creative talent around the globe. Dribbble helps some of the world’s best design-forward companies including Apple, Airbnb, IDEO, Facebook, Google, Dropbox, Slack, Shopify, Lyft get exposure for their design teams and to help them hire expert creatives.Starting Price: $5 per month -
17
Confidant
Confidant
Confidant is a open source secret management service that provides user-friendly storage and access to secrets in a secure way, from the developers at Lyft. Confidant solves the authentication chicken and egg problem by using AWS KMS and IAM to allow IAM roles to generate secure authentication tokens that can be verified by Confidant. Confidant also manages KMS grants for your IAM roles, which allows the IAM roles to generate tokens that can be used for service-to-service authentication, or to pass encrypted messages between services. Confidant stores secrets in an append-only way in DynamoDB, generating a unique KMS data key for every revision of every secret, using Fernet symmetric authenticated cryptography. Confidant provides an AngularJS web interface that allows end-users to easily manage secrets, the mappings of secrets to services and the history of changes. -
18
AppFollow
AppFollow
The world’s leading AI-powered Review Management platform. Manage user reviews, analyze user sentiment, and improve your app’s visibility, all in one place. With AppFollow, you can make the most out of user feedback and ensure your app stays visible in the app stores, all the while climbing the rankings. The product suite includes: - One platform review management across all major app stores - Review management automation, tagging, and AI responses - Detailed analytics on user reviews, sentiment, app ranking, and competitors - Integrations with major services like Zendesk, Salesforce, Tableau, and many others - Expert consultation team ready to help with app growth, audits, and market strategy AppFollow is trusted by over 70,000 clients, including Hubspot, Robinhood, Lyft, Rakuten, Discord, Miro, Orange, Deezer, Sony, HBO, Disney, Playrix, Gett, Viber, and Wargaming.Starting Price: $23 per month -
19
ExpressMileage
ExpressMileage
Get paid for driving your personal vehicle for business. Maximize your tax deduction. Great for Uber Eats, Grubhub, Lyft drivers who want to take tax deduction. Our mileage log generator is the fastest way to create a mileage log! Don't mess with apps that share your data or require months of tracking. Create a mileage log today in minutes. Our logs are generated in IRS Approved format. We help people everyday respond to audits with professionally generated mileage logs. Pass your audit with flying colors by making a detailed log of your driving habits. It only takes 4 minutes to make a log for an entire year! Our Mileage Log Generator is fast and easy to use. No apps to install and run in the background. Make a log today, don’t waste your time with apps that require months of tracking. Do you have multiple vehicles you need logs for? Did you change vehicles during the year and need logs for both? We can handle that!Starting Price: $9.99 per month -
20
LawnStarter
LawnStarter
LawnStarter brings you the best lawn services, all at the click of button. Within seconds, you can book skilled landscapers who have years of experience dealing with grass, weeds, pests, flowerbeds and anything else in your yard. We're like Uber for lawn care. Recurring, paying customers delivered to you at no cost. Claim only the jobs that work for you, do the work, and get paid weekly. LawnStarter takes a small portion of the mowing price but never charges our providers to use the service. You get paid exactly what you see when a job is offered to you. With LawnStarter, getting paid is easy. Just enter your bank info after you create an account and we'll deposit the money you earn once a week. Worried about security? We use Stripe, the company that helps Amazon, Facebook, Lyft and even Target process their payments, so your information is in good hands! LawnStarter uses proprietary software to price each lawn based on square footage and other factors. -
21
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 -
22
Abstra
Abstra
Securely authenticate users with SSO or SAML providers and manage permissions to any app with advanced, custom granular control. Securely authenticate users with SSO or SAML providers and manage permissions to any app with advanced, custom granular control. Deploy on-premise to benefit from our fast-building tools while ensuring every piece of data stays within your network. Be that for customer-facing or internal processes, make sure your onboarding has the perfect fit. Integrate to your favorite services or manage it all inside Abstra. Skip error-prone, repetitive work by creating automated tasks. Combine dynamic forms and workflows to streamline information gathering, reminders and transactions. Save time and guarantee your data quality and transparency by automating your reconciliation workflow. -
23
Amazon SageMaker Unified Studio is a comprehensive, AI and data development environment designed to streamline workflows and simplify the process of building and deploying machine learning models. Built on Amazon DataZone, it integrates various AWS analytics and AI/ML services, such as Amazon EMR, AWS Glue, and Amazon Bedrock, into a single platform. Users can discover, access, and process data from various sources like Amazon S3 and Redshift, and develop generative AI applications. With tools for model development, governance, MLOps, and AI customization, SageMaker Unified Studio provides an efficient, secure, and collaborative environment for data teams.
-
24
Tencent Cloud TI Platform
Tencent
Tencent Cloud TI Platform is a one-stop machine learning service platform designed for AI engineers. It empowers AI development throughout the entire process from data preprocessing to model building, model training, model evaluation, and model service. Preconfigured with diverse algorithm components, it supports multiple algorithm frameworks to adapt to different AI use cases. Tencent Cloud TI Platform delivers a one-stop machine learning experience that covers a complete and closed-loop workflow from data preprocessing to model building, model training, and model evaluation. With Tencent Cloud TI Platform, even AI beginners can have their models constructed automatically, making it much easier to complete the entire training process. Tencent Cloud TI Platform's auto-tuning tool can also further enhance the efficiency of parameter tuning. Tencent Cloud TI Platform allows CPU/GPU resources to elastically respond to different computing power needs with flexible billing modes. -
25
V7 Darwin
V7
V7 Darwin is a powerful AI-driven platform for labeling and training data that streamlines the process of annotating images, videos, and other data types. By using AI-assisted tools, V7 Darwin enables faster, more accurate labeling for a variety of use cases such as machine learning model training, object detection, and medical imaging. The platform supports multiple types of annotations, including keypoints, bounding boxes, and segmentation masks. It integrates with various workflows through APIs, SDKs, and custom integrations, making it an ideal solution for businesses seeking high-quality data for their AI projects.Starting Price: $150 -
26
Alibaba Cloud Machine Learning Platform for AI
Alibaba Cloud
An end-to-end platform that provides various machine learning algorithms to meet your data mining and analysis requirements. Machine Learning Platform for AI provides end-to-end machine learning services, including data processing, feature engineering, model training, model prediction, and model evaluation. Machine learning platform for AI combines all of these services to make AI more accessible than ever. Machine Learning Platform for AI provides a visualized web interface allowing you to create experiments by dragging and dropping different components to the canvas. Machine learning modeling is a simple, step-by-step procedure, improving efficiencies and reducing costs when creating an experiment. Machine Learning Platform for AI provides more than one hundred algorithm components, covering such scenarios as regression, classification, clustering, text analysis, finance, and time series.Starting Price: $1.872 per hour -
27
Anaconda
Anaconda
Anaconda is an AI-native development platform that helps teams move from experimentation to production with trusted open-source packages, governed environments, and production-grade orchestration. The platform provides a secure foundation for Python, data science, machine learning, and AI development across the full model lifecycle. Anaconda Core helps teams manage complex Python dependencies with validated packages, automated security scanning, and intelligent conflict resolution. The Anaconda Platform supports governed AI development so organizations can reduce broken environments, stalled deployments, and unmanaged open-source risk. Its trusted distribution is used by millions of users, developers, contributors, organizations, and Fortune 500 companies. Built for enterprise AI teams, Anaconda helps organizations accelerate open-source AI innovation while maintaining control, security, and governance. -
28
Hyta
Hyta
Hyta is a platform designed to scale and operationalize AI post-training workflows by creating always-on pipelines of specialized human intelligence and tracking trusted contributions so model improvement is continuous rather than a one-off project. It unifies a community of domain specialists and machine-learning contributors to supply high-quality human signals that support long-horizon, domain-specific model training and reinforcement learning pipelines, with mechanisms to retain contributor trust and context across projects and models. It emphasizes reliable trajectories by tailoring pipelines to organizational and project demands, preserving verified contributions, and enabling persistent feedback that compounds capabilities across industries. Hyta connects contributors, labs, enterprises, and post-training teams in a broader ecosystem, allowing organizations to orchestrate human-in-the-loop workflows at scale and integrate human feedback into model development processes. -
29
Caffe
BAIR
Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR) and by community contributors. Yangqing Jia created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license. Check out our web image classification demo! Expressive architecture encourages application and innovation. Models and optimization are defined by configuration without hard-coding. Switch between CPU and GPU by setting a single flag to train on a GPU machine then deploy to commodity clusters or mobile devices. Extensible code fosters active development. In Caffe’s first year, it has been forked by over 1,000 developers and had many significant changes contributed back. Thanks to these contributors the framework tracks the state-of-the-art in both code and models. Speed makes Caffe perfect for research experiments and industry deployment. Caffe can process over 60M images per day with a single NVIDIA K40 GPU. -
30
Manaflow
Manaflow
Execute tasks involving data, APIs, and actions in one click. Assemble your dream AI operations team. Build workflows with natural language. We are building Manaflow for you to scale your business with AI like the tech-enabled, big corporations, transforming tedious manual spreadsheet and software tasks into automated workflows. We take out the boring stuff, so you can focus on what matters most. Transform manual spreadsheet and software tasks into automated end-to-end workflows, enabling you to compete with well-automated corporations. The ideal way to execute workflows is not to manually operate software, but for you to merely click a button. Manaflow makes this a reality for millions of your tasks. AI owns end-to-end technical workflows, while you oversee them, update them as the business evolves, and tackle higher-level automation. Focus on the important stuff. Our library has a collection of Manaflow templates that you can choose from for your own use.Starting Price: $200 per month -
31
Horovod
Horovod
Horovod was originally developed by Uber to make distributed deep learning fast and easy to use, bringing model training time down from days and weeks to hours and minutes. With Horovod, an existing training script can be scaled up to run on hundreds of GPUs in just a few lines of Python code. Horovod can be installed on-premise or run out-of-the-box in cloud platforms, including AWS, Azure, and Databricks. Horovod can additionally run on top of Apache Spark, making it possible to unify data processing and model training into a single pipeline. Once Horovod has been configured, the same infrastructure can be used to train models with any framework, making it easy to switch between TensorFlow, PyTorch, MXNet, and future frameworks as machine learning tech stacks continue to evolve.Starting Price: Free -
32
Apache Mahout
Apache Software Foundation
Apache Mahout is a powerful, scalable, and versatile machine learning library designed for distributed data processing. It offers a comprehensive set of algorithms for various tasks, including classification, clustering, recommendation, and pattern mining. Built on top of the Apache Hadoop ecosystem, Mahout leverages MapReduce and Spark to enable data processing on large-scale datasets. Apache Mahout(TM) is a distributed linear algebra framework and mathematically expressive Scala DSL designed to let mathematicians, statisticians, and data scientists quickly implement their own algorithms. Apache Spark is the recommended out-of-the-box distributed back-end or can be extended to other distributed backends. Matrix computations are a fundamental part of many scientific and engineering applications, including machine learning, computer vision, and data analysis. Apache Mahout is designed to handle large-scale data processing by leveraging the power of Hadoop and Spark. -
33
Centific
Centific
Centific’s frontier AI data foundry platform, powered by NVIDIA edge computing, is purpose-built to accelerate AI deployments by increasing flexibility, security, and scalability through comprehensive workflow orchestration. It centralizes AI project management in a unified AI Workbench, overseeing pipelines, model training, deployment, and reporting within a single, streamlined environment, while it handles data ingestion, preprocessing, and transformation. RAG Studio simplifies retrieval-augmented generation workflows, the Product Catalog organizes reusable assets, and Safe AI Studio embeds built-in safeguards to ensure compliance, reduce hallucinations, and protect sensitive data. Its plugin-based modular architecture supports both PaaS and SaaS models with metering to monitor consumption, and a centralized model catalog offers version control, compliance checks, and flexible deployment options. -
34
AWS Deep Learning AMIs
Amazon
AWS Deep Learning AMIs (DLAMI) provides ML practitioners and researchers with a curated and secure set of frameworks, dependencies, and tools to accelerate deep learning in the cloud. Built for Amazon Linux and Ubuntu, Amazon Machine Images (AMIs) come preconfigured with TensorFlow, PyTorch, Apache MXNet, Chainer, Microsoft Cognitive Toolkit (CNTK), Gluon, Horovod, and Keras, allowing you to quickly deploy and run these frameworks and tools at scale. Develop advanced ML models at scale to develop autonomous vehicle (AV) technology safely by validating models with millions of supported virtual tests. Accelerate the installation and configuration of AWS instances, and speed up experimentation and evaluation with up-to-date frameworks and libraries, including Hugging Face Transformers. Use advanced analytics, ML, and deep learning capabilities to identify trends and make predictions from raw, disparate health data. -
35
Create ML
Apple
Experience an entirely new way of training machine learning models on your Mac. Create ML takes the complexity out of model training while producing powerful Core ML models. Train multiple models using different datasets, all in a single project. Preview your model performance using Continuity with your iPhone camera and microphone on your Mac, or drop in sample data. Pause, save, resume, and extend your training process. Interactively learn how your model performs on test data from your evaluation set. Explore key metrics and their connections to specific examples to help identify challenging use cases, further investments in data collection, and opportunities to help improve model quality. Use an external graphics processing unit with your Mac for even better model training performance. Train models blazingly fast right on your Mac while taking advantage of CPU and GPU. Create ML has a variety of model types to choose from. -
36
Keymakr
Keymakr
Keymakr provides image and video data annotation, along with data creation, collection, and validation services for AI and machine learning computer vision projects of any scale. The company’s core expertise lies in delivering high-quality training data for multimodal and embodied AI systems, and supporting human-verified annotation and LLM ground-truth validation of model outputs. Keymakr's motto, "Human teaching for machine learning," reflects its commitment to the human-in-the-loop approach. This is why the company maintains an in-house team of over 600 highly skilled annotators. Keymakr's goal is to deliver custom datasets that enhance the accuracy and efficiency of ML systems. To create precise datasets, Keymakr developed Keylabs.ai, a powerful enterprise-grade annotation platform that supports all annotation types. Keymakr also follows strict data security and compliance standards, holds ISO 9001 and ISO 27001 certifications, and maintains GDPR and HIPAA compliance.Starting Price: $7/hour -
37
ML Console
ML Console
ML Console is a web-based application that enables users to build powerful machine learning models without writing a single line of code. Designed for accessibility, it allows individuals from various backgrounds, including marketing professionals, e-commerce store owners, and larger enterprises, to create AI models in less than a minute. It operates entirely within the user's browser, ensuring that data remains local and secure. By leveraging modern web technologies like WebAssembly and WebGL, ML Console achieves training speeds comparable to traditional Python-based methods. Its user-friendly interface simplifies the machine learning process, making it approachable for users with no advanced AI expertise. Additionally, ML Console is free to use, eliminating barriers to entry for those interested in exploring machine learning solutions. Starting Price: Free -
38
Baidu AI Cloud Machine Learning (BML), an end-to-end machine learning platform designed for enterprises and AI developers, can accomplish one-stop data pre-processing, model training, and evaluation, and service deployments, among others. The Baidu AI Cloud AI development platform BML is an end-to-end AI development and deployment platform. Based on the BML, users can accomplish the one-stop data pre-processing, model training and evaluation, service deployment, and other works. The platform provides a high-performance cluster training environment, massive algorithm frameworks and model cases, as well as easy-to-operate prediction service tools. Thus, it allows users to focus on the model and algorithm and obtain excellent model and prediction results. The fully hosted interactive programming environment realizes the data processing and code debugging. The CPU instance supports users to install a third-party software library and customize the environment, ensuring flexibility.
-
39
OPAQUE
OPAQUE Systems
OPAQUE Systems offers a leading confidential AI platform that enables organizations to securely run AI, machine learning, and analytics workflows on sensitive data without compromising privacy or compliance. Their technology allows enterprises to unleash AI innovation risk-free by leveraging confidential computing and cryptographic verification, ensuring data sovereignty and regulatory adherence. OPAQUE integrates seamlessly into existing AI stacks via APIs, notebooks, and no-code solutions, eliminating the need for costly infrastructure changes. The platform provides verifiable audit trails and attestation for complete transparency and governance. Customers like Ant Financial have benefited by using previously inaccessible data to improve credit risk models. With OPAQUE, companies accelerate AI adoption while maintaining uncompromising security and control. -
40
Tinker
Thinking Machines Lab
Tinker is a training API designed for researchers and developers that allows full control over model fine-tuning while abstracting away the infrastructure complexity. It supports primitives and enables users to build custom training loops, supervision logic, and reinforcement learning flows. It currently supports LoRA fine-tuning on open-weight models across both LLama and Qwen families, ranging from small models to large mixture-of-experts architectures. Users write Python code to handle data, loss functions, and algorithmic logic; Tinker handles scheduling, resource allocation, distributed training, and failure recovery behind the scenes. The service lets users download model weights at different checkpoints and doesn’t force them to manage the compute environment. Tinker is delivered as a managed offering; training jobs run on Thinking Machines’ internal GPU infrastructure, freeing users from cluster orchestration. -
41
ML.NET
Microsoft
ML.NET is a free, open source, and cross-platform machine learning framework designed for .NET developers to build custom machine learning models using C# or F# without leaving the .NET ecosystem. It supports various machine learning tasks, including classification, regression, clustering, anomaly detection, and recommendation systems. ML.NET integrates with other popular ML frameworks like TensorFlow and ONNX, enabling additional scenarios such as image classification and object detection. It offers tools like Model Builder and the ML.NET CLI, which utilize Automated Machine Learning (AutoML) to simplify the process of building, training, and deploying high-quality models. These tools automatically explore different algorithms and settings to find the best-performing model for a given scenario.Starting Price: Free -
42
Perception Platform
Intuition Machines
The Perception Platform by Intuition Machines automates the entire lifecycle of machine learning models—from training to deployment and continuous improvement. Featuring advanced active learning, the platform enables models to evolve by learning from new data and human interaction, enhancing accuracy while reducing manual oversight. Robust APIs facilitate seamless integration with existing systems, making it scalable and easy to adopt across diverse AI/ML applications. -
43
Accelerate your deep learning workload. Speed your time to value with AI model training and inference. With advancements in compute, algorithm and data access, enterprises are adopting deep learning more widely to extract and scale insight through speech recognition, natural language processing and image classification. Deep learning can interpret text, images, audio and video at scale, generating patterns for recommendation engines, sentiment analysis, financial risk modeling and anomaly detection. High computational power has been required to process neural networks due to the number of layers and the volumes of data to train the networks. Furthermore, businesses are struggling to show results from deep learning experiments implemented in silos.
-
44
V7 Go
V7
V7 Go is a work automation platform that leverages foundation models to learn repetitive tasks and automate them reliably and at scale. It enables organizations to automate workflows across various data types, including documents, images, text, and videos, by connecting data to generative AI models. It supports complex tasks such as extracting key financial metrics, analyzing unstructured data, and generating actionable insights in minutes. V7 Go offers instant setup without the need for API keys and allows chaining multiple generative AI models to extract data, generate summaries, or perform complex reasoning tasks visually. It improves reliability through human-in-the-loop workflows, enabling human corrections to enhance AI accuracy over time. It also features AI citations for transparent and trustworthy responses, highlighting document excerpts used as information sources. -
45
JAX
JAX
JAX is a Python library designed for high-performance numerical computing and machine learning research. It offers a NumPy-like API, facilitating seamless adoption for those familiar with NumPy. Key features of JAX include automatic differentiation, just-in-time compilation, vectorization, and parallelization, all optimized for execution on CPUs, GPUs, and TPUs. These capabilities enable efficient computation for complex mathematical functions and large-scale machine-learning models. JAX also integrates with various libraries within its ecosystem, such as Flax for neural networks and Optax for optimization tasks. Comprehensive documentation, including tutorials and user guides, is available to assist users in leveraging JAX's full potential. -
46
ETLR
Creu Labs
ETLR is an AI workflow automation tool enabling users to create, version, and deploy workflows using YAML. Implemented with a 'workflows as code' approach, it provides a straightforward way to manage AI workflows without the need for UI manipulation. ETLR comes with built-in version control for workflows, making tracking changes and rolling back updates effortless. By deploying workflows with a single command, developers can avoid the tedious configuration of infrastructure - making the tool a timesaver. It integrates with various tools like OpenAI, AWS, Slack, Python, and more, enhancing its functionality. Further, it offers notable features such as real-time metrics, structured logs, step-by-step execution traces which provide complete visibility into workflow execution. Also, ETLR enterprise users get the luxury of dedicated support and SLA guarantees. Lastly, the pricing strategy is simple and credit-based, where one credit equals one workflow execution.Starting Price: $27/month -
47
n8n
n8n
Build complex automations 10x faster, without fighting APIs. Your days spent slogging through a spaghetti of scripts are over. Use JavaScript when you need flexibility and UI for everything else. n8n allows you to build flexible workflows focused on deep data integration. And with sharable templates and a user-friendly UI, the less technical people on your team can collaborate on them too. Unlike other tools, complexity is not a limitation. So you can build whatever you want — without stressing over budget. Connect APIs with no code to automate basic tasks. Or write vanilla Javascript when you need to manipulate complex data. You can implement multiple triggers. Branch and merge your workflows. And even pause flows to wait for external events. Interface easily with any API or service with custom HTTP requests. Avoid breaking live workflows by separating dev and prod environments with unique sets of auth data.Starting Price: $20 per month -
48
Kraken
Big Squid
Kraken is for everyone from analysts to data scientists. Built to be the easiest-to-use, no-code automated machine learning platform. The Kraken no-code automated machine learning (AutoML) platform simplifies and automates data science tasks like data prep, data cleaning, algorithm selection, model training, and model deployment. Kraken was built with analysts and engineers in mind. If you've done data analysis before, you're ready! Kraken's no-code, easy-to-use interface and integrated SONAR© training make it easy to become a citizen data scientist. Advanced features allow data scientists to work faster and more efficiently. Whether you use Excel or flat files for day-to-day reporting or just ad-hoc analysis and exports, drag-and-drop CSV upload and the Amazon S3 connector in Kraken make it easy to start building models with a few clicks. Data Connectors in Kraken allow you to connect to your favorite data warehouse, business intelligence tools, and cloud storage.Starting Price: $100 per month -
49
Gensim
Radim Řehůřek
Gensim is a free, open source Python library designed for unsupervised topic modeling and natural language processing, focusing on large-scale semantic modeling. It enables the training of models like Word2Vec, FastText, Latent Semantic Analysis (LSA), and Latent Dirichlet Allocation (LDA), facilitating the representation of documents as semantic vectors and the discovery of semantically related documents. Gensim is optimized for performance with highly efficient implementations in Python and Cython, allowing it to process arbitrarily large corpora using data streaming and incremental algorithms without loading the entire dataset into RAM. It is platform-independent, running on Linux, Windows, and macOS, and is licensed under the GNU LGPL, promoting both personal and commercial use. The library is widely adopted, with thousands of companies utilizing it daily, over 2,600 academic citations, and more than 1 million downloads per week.Starting Price: Free -
50
FIWARE
FIWARE
Bringing de-facto standards and open source to create a sustainable market of interoperable and portable smart cities solutions. Our reference architecture for Smart Cities breaks vertical silos, building a context info management layer that provides a holistic picture of what is going on in the city. By making city data public and merging data from multiple verticals, city-level governance systems can be enhanced. Due to “de-facto” standard information models there are no costs of adaptation to achieve full interoperability among many different systems in the city. This, in turn, enables the portability of systems across sectors and cities. Third-party solution providers can benefit from right-time open data published by the city and made available through standard APIs. They can sell their solutions to cities across the world, targeting a larger market and boosting businesses.
