Find and compare the best Artificial Intelligence software for Flask in 2024
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Use the comparison tool below to compare the top Artificial Intelligence software for Flask on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.
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Domino Enterprise MLOps Platform
Domino Data Lab
1 RatingThe Domino Enterprise MLOps Platform helps data science teams improve the speed, quality, and impact of data science at scale. Domino is open and flexible, empowering professional data scientists to use their preferred tools and infrastructure. Data science models get into production fast and are kept operating at peak performance with integrated workflows. Domino also delivers the security, governance and compliance that enterprises expect. The Self-Service Infrastructure Portal makes data science teams become more productive with easy access to their preferred tools, scalable compute, and diverse data sets. By automating time-consuming and tedious DevOps tasks, data scientists can focus on the tasks at hand. The Integrated Model Factory includes a workbench, model and app deployment, and integrated monitoring to rapidly experiment, deploy the best models in production, ensure optimal performance, and collaborate across the end-to-end data science lifecycle. The System of Record has a powerful reproducibility engine, search and knowledge management, and integrated project management. Teams can easily find, reuse, reproduce, and build on any data science work to amplify innovation. -
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GitHub Copilot
GitHub
$10 per month 7 RatingsYour AI pair programmer. GitHub Copilot allows you to get suggestions for entire lines or entire functions from your editor. GitHub Copilot is a program that has been trained on billions upon billions of lines public code. It saves you time and helps you stay focused. GitHub Copilot is now available as a Visual Studio Code Extension. It works on any Visual Studio Code platform, on your computer or in the cloud at GitHub Codespaces. It's easy to use and fast enough that you can type as you type. GitHub Copilot is compatible with a wide range of languages and frameworks. The technical preview works especially well with Python, TypeScript Ruby, Ruby, and Go. However, it can also understand dozens of languages and help you navigate almost any situation. You are always in control with GitHub Copilot. You can choose from a variety of suggestions, accept or reject them, and edit the code manually. GitHub Copilot adapts according to your coding style and makes edits. -
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Wing Python IDE
Wingware
1 RatingWing Python IDE was built from the ground up to provide a better Python development experience. Wing will take care of the details, so you can type less. You can get immediate feedback by writing Python code interactively in the live Runtime. Navigate code and documentation easily. Wing's deep Python analysis will help you avoid common mistakes and quickly find the root cause. Smart refactoring and code quality checking will keep your code clean. Any Python code can be debugged. You can inspect debug data and use it to try out bug fixes without having to restart your app. You can work locally, remotely, on a VM, container, or host. Wingware's 21-year-old Python IDE experience will provide you with a more Pythonic development environment. Wing was built from the ground up in Python and is fully extensible with Python. You can be more productive. -
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Comet
Comet
$179 per user per monthManage and optimize models throughout the entire ML lifecycle. This includes experiment tracking, monitoring production models, and more. The platform was designed to meet the demands of large enterprise teams that deploy ML at scale. It supports any deployment strategy, whether it is private cloud, hybrid, or on-premise servers. Add two lines of code into your notebook or script to start tracking your experiments. It works with any machine-learning library and for any task. To understand differences in model performance, you can easily compare code, hyperparameters and metrics. Monitor your models from training to production. You can get alerts when something is wrong and debug your model to fix it. You can increase productivity, collaboration, visibility, and visibility among data scientists, data science groups, and even business stakeholders. -
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SuperAGI SuperCoder
SuperAGI
FreeSuperAGI SuperCoder combines AI-native development platform & AI agents in order to enable fully autonomous software creation starting with the python programming language & frameworks. SuperCoder 2.0 leverages Large Action Models (LAMs) and LLMs fine-tuned to python code creation leading to one-shot or few-shot python functional programming with significantly higher accuracy on SWE-bench and Codebench SuperCoder 2.0 is an autonomous system that combines software guardrails for Flask & Django development frameworks with SuperAGI's Generally Intelligent Developer Agents in order to deliver complex real-world software systems SuperCoder 2.0 integrates deeply with existing developer stacks such as Jira or Github, Jenkins, CSPs, and QA solutions like BrowserStack/Selenium Clouds, to ensure a seamless experience in software development. -
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16x Prompt
16x Prompt
$24 one-time paymentManage source code context, and generate optimized prompts. Ship with ChatGPT or Claude. 16x Prompt is a tool that helps developers manage the source code context, and provides prompts for complex coding tasks in existing codebases. Enter your own API Key to use APIs such as OpenAI, Anthropic Azure OpenAI OpenRouter or 3rd-party services that are compatible with OpenAI APIs, like Ollama and OxyAPI. APIs prevent your code from leaking to OpenAI and Anthropic training data. Compare the output code of different LLMs (for example, GPT-4o & Claude 3.5 Sonnet), side-by-side, to determine which is best for your application. Create and save your best prompts to be used across different tech stacks such as Next.js Python and SQL. To get the best results, fine-tune your prompt using various optimization settings. Workspaces allow you to manage multiple repositories, projects and workspaces in one place. -
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Defang
Defang
$10 per monthDefang is a platform geared towards developers that simplifies the development, deployment, and debugging of cloud applications. Defang's AI-assisted tools enable developers to quickly transition from an application idea to a deployed one on their preferred cloud provider. The platform supports multiple languages, including Go JavaScript and Python. Developers can start with sample projects, or generate project outlines by using natural language prompts. Defang can build and deploy applications with a single command. It handles configurations for computing and storage, load balancing and networking, logging and security. The Defang Command Line Interface facilitates interaction with the platform. It offers installation options via shellscripts, Homebrew Winget, Nix or direct download. Compose.yaml files allow developers to define services, which Defang uses to deploy applications to cloud. -
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WhyLabs
WhyLabs
Observability allows you to detect data issues and ML problems faster, to deliver continuous improvements and to avoid costly incidents. Start with reliable data. Monitor data in motion for quality issues. Pinpoint data and models drift. Identify the training-serving skew, and proactively retrain. Monitor key performance metrics continuously to detect model accuracy degradation. Identify and prevent data leakage in generative AI applications. Protect your generative AI apps from malicious actions. Improve AI applications by using user feedback, monitoring and cross-team collaboration. Integrate in just minutes with agents that analyze raw data, without moving or replicating it. This ensures privacy and security. Use the proprietary privacy-preserving technology to integrate the WhyLabs SaaS Platform with any use case. Security approved by healthcare and banks. -
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Unremot
Unremot
Unremot is the place to go for anyone who wants to build an AI-based product. With 120+ pre-built AIs, you can launch AI products at 1/3rd of the cost and 2X faster. Even the most complex AI product APIs can be launched and deployed in less than a minute, with minimal or no code. Unremot offers 120+ APIs. Choose the AI API you want to integrate into your product. Unremot will need your API private key in order to authenticate. Unremot's unique URL is the fastest way to connect your product API. The process can take minutes instead of days or weeks.
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