Best Artificial Intelligence Software for Docker - Page 2
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Compare the Top Artificial Intelligence Software that integrates with Docker as of July 2025 - Page 2
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This a list of Artificial Intelligence software that integrates with Docker. Use the filters on the left to add additional filters for products that have integrations with Docker. View the products that work with Docker in the table below.
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1
BentoML
BentoML
Serve your ML model in any cloud in minutes. Unified model packaging format enabling both online and offline serving on any platform. 100x the throughput of your regular flask-based model server, thanks to our advanced micro-batching mechanism. Deliver high-quality prediction services that speak the DevOps language and integrate perfectly with common infrastructure tools. Unified format for deployment. High-performance model serving. DevOps best practices baked in. The service uses the BERT model trained with the TensorFlow framework to predict movie reviews' sentiment. DevOps-free BentoML workflow, from prediction service registry, deployment automation, to endpoint monitoring, all configured automatically for your team. A solid foundation for running serious ML workloads in production. Keep all your team's models, deployments, and changes highly visible and control access via SSO, RBAC, client authentication, and auditing logs.Starting Price: Free -
2
Snitch AI
Snitch AI
Quality assurance for machine learning simplified. Snitch removes the noise to surface only the most useful information to improve your models. Track your model’s performance beyond just accuracy with powerful dashboards and analysis. Identify problems in your data pipeline and distribution shifts before they affect your predictions. Stay in production once you’ve deployed and gain visibility on your models & data throughout its cycle. Keep your data secure, cloud, on-prem, private cloud, hybrid, and you decide how to install Snitch. Work within the tools you love and integrate Snitch into your MLops pipeline! Get up and running quickly, we keep installation, learning, and running the product easy as pie. Accuracy can often be misleading. Look into robustness and feature importance to evaluate your models before deploying. Gain actionable insights to improve your models. Compare against historical metrics and your models’ baseline.Starting Price: $1,995 per year -
3
InsightFinder
InsightFinder
InsightFinder Unified Intelligence Engine (UIE) platform provides human-centered AI solutions for identifying incident root causes, and predicting and preventing production incidents. Powered by patented self-tuning unsupervised machine learning, InsightFinder continuously learns from metric time series, logs, traces, and triage threads from SREs and DevOps Engineers to bubble up root causes and predict incidents from the source. Companies of all sizes have embraced the platform and seen that business-impacting incidents can be predicted hours ahead with clearly pinpointed root causes. Survey a comprehensive overview of your IT Ops ecosystem, including patterns, trends, and team activities. Also view calculations that demonstrate overall downtime savings, cost of labor savings, and number of incidents resolved.Starting Price: $2.5 per core per month -
4
TrueFoundry
TrueFoundry
TrueFoundry is a Cloud-native Machine Learning Training and Deployment PaaS on top of Kubernetes that enables Machine learning teams to train and Deploy models at the speed of Big Tech with 100% reliability and scalability - allowing them to save cost and release Models to production faster. We abstract out the Kubernetes for Data Scientists and enable them to operate in a way they are comfortable. It also allows teams to deploy and fine-tune large language models seamlessly with full security and cost optimization. TrueFoundry is open-ended, API Driven and integrates with the internal systems, deploys on a company's internal infrastructure and ensures complete Data Privacy and DevSecOps practices.Starting Price: $5 per month -
5
Komprehend
Komprehend
Komprehend AI APIs are the most comprehensive set of document classification and NLP APIs for software developers. Our NLP models are trained on more than a billion documents and provide state-of-the-art accuracy on most common NLP use cases such as sentiment analysis and emotion detection. Try our free demo now and see the effectiveness of our Text Analysis API. Maintains high accuracy in the real world, and brings out useful insights from open-ended textual data. Works on a variety of data, ranging from finance to healthcare. Supports private cloud deployments via Docker containers or on-premise deployment ensuring no data leakage. Protects your data and follows the GDPR compliance guidelines to the last word. Understand the social sentiment of your brand, product, or service while monitoring online conversations. Sentiment analysis is contextual mining of text which identifies and extracts subjective information in the source material.Starting Price: $79 per month -
6
Apache PredictionIO
Apache
Apache PredictionIO® is an open-source machine learning server built on top of a state-of-the-art open-source stack for developers and data scientists to create predictive engines for any machine learning task. It lets you quickly build and deploy an engine as a web service on production with customizable templates. Respond to dynamic queries in real-time once deployed as a web service, evaluate and tune multiple engine variants systematically, and unify data from multiple platforms in batch or in real-time for comprehensive predictive analytics. Speed up machine learning modeling with systematic processes and pre-built evaluation measures, support machine learning and data processing libraries such as Spark MLLib and OpenNLP. Implement your own machine learning models and seamlessly incorporate them into your engine. Simplify data infrastructure management. Apache PredictionIO® can be installed as a full machine learning stack, bundled with Apache Spark, MLlib, HBase, Akka HTTP, etc.Starting Price: Free -
7
Latitude
Latitude
Latitude is an open-source prompt engineering platform designed to help product teams build, evaluate, and deploy AI models efficiently. It allows users to import and manage prompts at scale, refine them with real or synthetic data, and track the performance of AI models using LLM-as-judge or human-in-the-loop evaluations. With powerful tools for dataset management and automatic logging, Latitude simplifies the process of fine-tuning models and improving AI performance, making it an essential platform for businesses focused on deploying high-quality AI applications.Starting Price: $0 -
8
Vald
Vald
Vald is a highly scalable distributed fast approximate nearest neighbor dense vector search engine. Vald is designed and implemented based on the Cloud-Native architecture. It uses the fastest ANN Algorithm NGT to search neighbors. Vald has automatic vector indexing and index backup, and horizontal scaling which made for searching from billions of feature vector data. Vald is easy to use, feature-rich and highly customizable as you needed. Usually the graph requires locking during indexing, which cause stop-the-world. But Vald uses distributed index graph so it continues to work during indexing. Vald implements its own highly customizable Ingress/Egress filter. Which can be configured to fit the gRPC interface. Horizontal scalable on memory and cpu for your demand. Vald supports to auto backup feature using Object Storage or Persistent Volume which enables disaster recovery.Starting Price: Free -
9
Flowise
Flowise AI
Flowise is an open-source, low-code platform that enables developers to create customized Large Language Model (LLM) applications through a user-friendly drag-and-drop interface. It supports integration with various LLMs, including LangChain and LlamaIndex, and offers over 100 integrations to facilitate the development of AI agents and orchestration flows. Flowise provides APIs, SDKs, and embedded widgets for seamless incorporation into existing systems, and is platform-agnostic, allowing deployment in air-gapped environments with local LLMs and vector databases.Starting Price: Free -
10
Tabby
Tabby ML
Tabby is an open-source, self-hosted AI coding assistant designed to enhance your development workflow with intelligent code completion, real-time suggestions, and seamless integration into your preferred IDE. Its flexible deployment options allow you to run Tabby on your own infrastructure, ensuring security and control over your codebase. With support for major coding large language models (LLMs) like CodeLlama, StarCoder, and CodeGen, Tabby adapts to your coding style, providing accurate and context-aware assistance. Whether you're working individually or as part of a team, Tabby streamlines coding tasks, reduces errors, and accelerates project timelines.Starting Price: Free -
11
Flot.ai
Flot.ai
Pop up AI anywhere you type or highlight the text. Write, improve, paraphrase, summarize, translate, explain, or reply to any text with one click. Flot unmatched support across apps, browsers, email clients, docs, tools, etc. It's like Notion AI, but with the flexibility to use it anywhere on your desktop. Enhance your creative process with a brainstorming partner that provides innovative ideas and solutions. Our AI app for PC is a grammar guru, capable of identifying errors and polishing your work to perfection. An AI copilot that can help you write content with its vast reservoir of knowledge and experience. Access Flot's professionally tested prompts to maximize AI's full potential. Flot uses the same technology but at a much lower cost, eliminating the need for a ChatGPT Plus subscription. Flot is an AI copilot, that integrates ChatGPT and GPT-4 across all apps and websites on your computer, aiding in writing, paraphrasing, summarizing, and more.Starting Price: $9.99 per month -
12
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 -
13
ogimage.org
ogimage.org
When you share a link on social media like Twitter, LinkedIn, or Facebook, or messaging platforms like WhatsApp, Slack, or Telegram, an accompanying thumbnail preview image usually appears. The image that populates this preview is what's known as the open graph or OG image. It provides a visual representation of the content being shared. It's important to have a good open graph image because it increases engagement and click-through rates. Get all the code to generate infinite open graph images for your website, blog, or social media posts for a one-time payment. You get the source code and can customize the templates to match your brand. Get more engagement with our pre-designed templates. All templates are included in the kit and can be customized to your liking. You get the full source code to modify and use however you like. It is customizable, open source, and requires no design skills.Starting Price: $37 one-time payment -
14
Sieve
Sieve
Build better AI with multiple models. AI models are a new kind of building block. Sieve is the easiest way to use these building blocks to understand audio, generate video, and much more at scale. State-of-the-art models in just a few lines of code, and a curated set of production-ready apps for many use cases. Import your favorite models like Python packages. Visualize results with auto-generated interfaces built for your entire team. Deploy custom code with ease. Define your environment compute in code, and deploy with a single command. Fast, scalable infrastructure without the hassle. We built Sieve to automatically scale as your traffic increases with zero extra configuration. Package models with a simple Python decorator and deploy them instantly. A full-featured observability stack so you have full visibility of what’s happening under the hood. Pay only for what you use, by the second. Gain full control over your costs.Starting Price: $20 per month -
15
Lamini
Lamini
Lamini makes it possible for enterprises to turn proprietary data into the next generation of LLM capabilities, by offering a platform for in-house software teams to uplevel to OpenAI-level AI teams and to build within the security of their existing infrastructure. Guaranteed structured output with optimized JSON decoding. Photographic memory through retrieval-augmented fine-tuning. Improve accuracy, and dramatically reduce hallucinations. Highly parallelized inference for large batch inference. Parameter-efficient finetuning that scales to millions of production adapters. Lamini is the only company that enables enterprise companies to safely and quickly develop and control their own LLMs anywhere. It brings several of the latest technologies and research to bear that was able to make ChatGPT from GPT-3, as well as Github Copilot from Codex. These include, among others, fine-tuning, RLHF, retrieval-augmented training, data augmentation, and GPU optimization.Starting Price: $99 per month -
16
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 -
17
LibreChat
LibreChat
LibreChat is a free, open source AI chat platform. This web UI offers vast customization, supporting numerous AI providers, services, and integrations. Serves all AI conversations in one place with a familiar interface, and innovative enhancements, for as many users as you need. LibreChat is an AI chat platform that empowers you to harness the capabilities of cutting-edge language models from multiple providers in a unified interface. With its vast customization options, innovative enhancements, and seamless integration of AI services, LibreChat offers an unparalleled conversational experience. It brings together the latest advancements in AI technology. It serves as a centralized hub for all your AI conversations, providing a familiar, user-friendly interface enriched with advanced features and customization capabilities. LibreChat allows you to freely use, modify, and distribute the software without any restrictions or paid subscriptions.Starting Price: Free -
18
BudgetML
ebhy
BudgetML is perfect for practitioners who would like to quickly deploy their models to an endpoint, but not waste a lot of time, money, and effort trying to figure out how to do this end-to-end. We built BudgetML because it's hard to find a simple way to get a model in production quickly and cheaply. Cloud functions are limited in memory and cost a lot at scale. Kubernetes clusters are overkill for one single model. Deploying from scratch involves learning too many different concepts like SSL certificate generation, Docker, REST, Uvicorn/Gunicorn, backend servers, etc., that are simply not within the scope of a typical data scientist. BudgetML is our answer to this challenge. It is supposed to be fast, easy, and developer-friendly. It is by no means meant to be used in a full-fledged production-ready setup. It is simply a means to get a server up and running as fast as possible with the lowest costs possible.Starting Price: Free -
19
PandaETL
PandaETL
Upload PDFs, spreadsheets, and other documents. No complex setup is required, just drag, drop, and start working. Choose your tasks and let the platform extract the precise data you need. Review and get organized, actionable data in a format you know and trust. Whether it’s contracts, invoices, images, websites, or reports, the platform helps you extract valuable information and organize it efficiently. Explore your files with an intuitive chat interface. Dialogue with your data to uncover insights in PDFs, spreadsheets, and more. Generate detailed reports quickly. Create overviews and summaries with references in minutes. Open the extraction tables, click on each cell, and immediately look at the source, in the context. Download highlighted files in batch. Ideal for businesses looking to enhance efficiency and reduce costs in document-intensive operations. Ensure automation is optimized to specific industries thanks to our plug-and-play modules or request your own customization.Starting Price: Free -
20
Magier
Magier
Whatever your privacy needs, our AI keeps your data safe. Businesses struggle to keep up with evolving privacy regulations, risking penalties and loss of customer trust. Sensitive information is at risk of being exposed when interacting with AI, raising concerns over data privacy. Organizations find it difficult to control how their data is processed and used by AI systems, leading to potential misuse. Our platform uses AI to automatically identify and protect sensitive information, ensuring your data remains secure. Stay ahead of data privacy regulations by utilizing our platform to meet the latest compliance standards, such as GDPR and CCPA. Automatically redact sensitive information in real time while ensuring seamless interactions and maintaining data integrity. Tailor our privacy solutions to meet your business's unique needs, with flexible options for data protection and redaction.Starting Price: $25 per month -
21
SWE-Kit
Composio
SweKit let’s you build PR agents to review code, suggest improvements, enforce coding standards, identify potential issues, automate merge approvals, and provide feedback on best practices, streamlining the review process and enhancing code quality. Automate writing new features, debug complex issues, create and run tests, optimize code for performance, refactor for maintainability, and ensure best practices across the codebase, accelerating development and efficiency. Use highly optimized code analysis, advanced code indexing, and intelligent file navigation tools to explore and interact with large codebases effortlessly. Ask questions, trace dependencies, uncover logic flows, and gain instant insights, enabling seamless communication with complex code structures. Keep your documentation in sync with your code. Automatically update Mintlify documentation whenever changes are made to the codebase, ensuring that your docs stay accurate, up-to-date, and ready for your team and users.Starting Price: $49 per month -
22
Lunary
Lunary
Lunary is an AI developer platform designed to help AI teams manage, improve, and protect Large Language Model (LLM) chatbots. It offers features such as conversation and feedback tracking, analytics on costs and performance, debugging tools, and a prompt directory for versioning and team collaboration. Lunary supports integration with various LLMs and frameworks, including OpenAI and LangChain, and provides SDKs for Python and JavaScript. Guardrails to deflect malicious prompts and sensitive data leaks. Deploy in your VPC with Kubernetes or Docker. Allow your team to judge responses from your LLMs. Understand what languages your users are speaking. Experiment with prompts and LLM models. Search and filter anything in milliseconds. Receive notifications when agents are not performing as expected. Lunary's core platform is 100% open-source. Self-host or in the cloud, get started in minutes.Starting Price: $20 per month -
23
Defang
Defang
Defang is a developer-centric platform that simplifies the process of developing, deploying, and debugging cloud applications. By leveraging AI-assisted tooling, Defang enables developers to swiftly transition from an idea to a deployed application on their preferred cloud provider. The platform supports multiple programming languages, including Go, JavaScript, and Python, allowing developers to start with sample projects or generate project outlines using natural language prompts. With a single command, Defang builds and deploys applications, handling configurations for computing, storage, load balancing, networking, logging, and security. The Defang Command Line Interface (CLI) facilitates interactions with the platform, offering installation options via shell scripts, Homebrew, Winget, Nix, or direct download. Developers can define services using compose.yaml files, which Defang utilizes to deploy applications to the cloud.Starting Price: $10 per month -
24
KitchenAI
KitchenAI
KitchenAI is a developer-centric framework that streamlines the process of transforming AI Jupyter Notebooks into production-ready APIs. It bridges the gap between AI developers, application developers, and infrastructure developers by providing a fully featured API server with default routes, a command-line interface for quick setup, and an extensible plugin framework. This design enables users to author multiple AI techniques, rapidly test and iterate, and seamlessly build and share their work. For AI developers, KitchenAI manages scalability within familiar environments, converting notebooks into robust applications. Application developers benefit from intuitive SDKs and tools that facilitate the integration of AI through simple APIs, allowing for quick testing to determine the most suitable AI techniques for their applications. Infrastructure developers can integrate with AI tooling.Starting Price: $17 per month -
25
RAGFlow
RAGFlow
RAGFlow is an open source Retrieval-Augmented Generation (RAG) engine that enhances information retrieval by combining Large Language Models (LLMs) with deep document understanding. It offers a streamlined RAG workflow suitable for businesses of any scale, providing truthful question-answering capabilities backed by well-founded citations from various complex formatted data. Key features include template-based chunking, compatibility with heterogeneous data sources, and automated RAG orchestration.Starting Price: Free -
26
TestDriver
TestDriver
TestDriver is an AI-driven autonomous agent designed to revolutionize end-to-end testing for web and desktop applications. Unlike traditional testing frameworks that rely on selectors or static analysis, TestDriver employs AI vision and hardware emulation to simulate real user interactions, enabling it to test any application and control any operating system setting. This approach simplifies setup by eliminating the need for complex selectors, reduces maintenance as tests remain resilient to code changes, and enhances testing capabilities beyond the limitations of conventional methods. The AI explores applications to generate tailored test plans, streamlining the onboarding process and ensuring critical user flows are validated with minimal effort. Seamless integration into CI/CD pipelines allows for continuous, automated quality checks, providing confidence in code integrity. The AI adapts to UI changes, eliminating brittle tests and maintaining robustness as the application evolves.Starting Price: $249 per month -
27
FauxPilot
FauxPilot
FauxPilot is an open source, self-hosted alternative to GitHub Copilot. It utilizes the SalesForce CodeGen models on NVIDIA's Triton Inference Server with the FasterTransformer backend for local code generation. It requires Docker, an NVIDIA GPU with sufficient VRAM, and the ability to split the model across multiple GPUs if needed. The setup involves downloading models from Hugging Face and converting them for FasterTransformer compatibility.Starting Price: Free -
28
txtai
NeuML
txtai is an all-in-one open source embeddings database designed for semantic search, large language model orchestration, and language model workflows. It unifies vector indexes (both sparse and dense), graph networks, and relational databases, providing a robust foundation for vector search and serving as a powerful knowledge source for LLM applications. With txtai, users can build autonomous agents, implement retrieval augmented generation processes, and develop multi-modal workflows. Key features include vector search with SQL support, object storage integration, topic modeling, graph analysis, and multimodal indexing capabilities. It supports the creation of embeddings for various data types, including text, documents, audio, images, and video. Additionally, txtai offers pipelines powered by language models that handle tasks such as LLM prompting, question-answering, labeling, transcription, translation, and summarization.Starting Price: Free -
29
LiteLLM
LiteLLM
LiteLLM is a versatile platform designed to streamline interactions with over 100 Large Language Models (LLMs) through a unified interface. It offers both a Proxy Server (LLM Gateway) and a Python SDK, enabling developers to integrate various LLMs seamlessly into their applications. The Proxy Server facilitates centralized management, allowing for load balancing, cost tracking across projects, and consistent input/output formatting compatible with OpenAI standards. This setup supports multiple providers. It ensures robust observability by generating unique call IDs for each request, aiding in precise tracking and logging across systems. Developers can leverage pre-defined callbacks to log data using various tools. For enterprise users, LiteLLM offers advanced features like Single Sign-On (SSO), user management, and professional support through dedicated channels like Discord and Slack.Starting Price: Free -
30
Axolotl
Axolotl
Axolotl is an open source tool designed to streamline the fine-tuning of various AI models, offering support for multiple configurations and architectures. It enables users to train models, supporting methods like full fine-tuning, LoRA, QLoRA, ReLoRA, and GPTQ. Users can customize configurations using simple YAML files or command-line interface overrides, and load different dataset formats, including custom or pre-tokenized datasets. Axolotl integrates with technologies like xFormers, Flash Attention, Liger kernel, RoPE scaling, and multipacking, and works with single or multiple GPUs via Fully Sharded Data Parallel (FSDP) or DeepSpeed. It can be run locally or on the cloud using Docker and supports logging results and checkpoints to several platforms. It is designed to make fine-tuning AI models friendly, fast, and fun, without sacrificing functionality or scale.Starting Price: Free