Best AI tools for< Protect Budget >

AppsFlyer is an AI-powered platform that focuses on customer experience, engagement, and deep linking. It offers a comprehensive suite of measurement tools to track actions on mobile, web, and CTV, optimize creative performance using AI, and analyze marketing analytics. The platform helps businesses understand their mobile marketing ROI, prove the value of marketing campaigns, and boost revenue through exceptional customer experiences. AppsFlyer also provides solutions for audience segmentation, fraud protection, data collaboration, and partner marketplace integration. With a strong emphasis on privacy and security, AppsFlyer enables users to create personalized, contextual experiences that drive user acquisition, retention, and revenue.

Bearkd Clicktracker is an adblock-proof AI tracking and attribution software designed to help e-commerce stores maximize profitability. It offers fully automated, customizable click fraud prevention and reporting, allowing users to identify and exclude invalid and wasteful traffic, including click fraud and bot attacks. Bearkd's AI-powered system analyzes every click against a wide range of markers to determine its legitimacy, ensuring accurate and reliable data for campaign optimization. With Bearkd, businesses can optimize for intent, enhance traffic quality, increase conversion rates, and protect their PPC budget from fraudulent activities.

OLY.AI is an AI-powered bookkeeping solution designed for QuickBooks Online users. It provides instant answers to metric business questions, real-time data analysis, and secure integration with QuickBooks Online. OLY.AI offers custom GPTs for company-specific insights, real-time charts for monitoring KPI data, and 24/7 availability for answering queries. The platform prioritizes data privacy and security by using advanced encryption technology to protect user data. OLY.AI aims to empower metric-driven company culture and facilitate data-driven decision-making.

Kopy is an AI-powered tool designed for Shopify store owners to easily copy and import products from other stores with just one click. It offers features like native translation, AI copywriting, and easy-to-use interface. Kopy stands out with its instant product import, bulk import options, customization, translation to any language, and user-friendly interface. The tool saves time and money for dropshippers by automating product import and enhancing product details with AI. Kopy offers affordable pricing plans tailored to entrepreneurs' budgets, empowering their e-commerce journey. The tool supports copying products from platforms like Shopify, Aliexpress, CJ Dropshipping, Etsy, and Amazon.

ThinkTask is a project and team management tool that utilizes ChatGPT's capabilities to enhance productivity and streamline task management. It offers AI-generated reports and insights, AI usage tracking, Team Pulse for visualizing task types and status, Project Progress Table for monitoring project timelines and budgets, Task Insights for illustrating task interdependencies, and a comprehensive Overview for visualizing progress and managing dependencies. Additionally, ThinkTask features one-click auto-task creation with notes from ChatGPT, auto-tagging for task organization, and AI-suggested task assignments based on past experience and skills. It provides a unified workspace for notes, tasks, databases, collaboration, and customization.

Elsa by M1-project is the ultimate AI marketing assistant tool designed to revolutionize marketing strategies for businesses. It offers a comprehensive range of features to help users from strategy generation to campaign execution. Elsa leverages advanced AI technologies to identify ideal customers, provide marketing strategies, and create engaging content for social media. With a focus on cost-effectiveness and founder-friendly guidance, Elsa aims to streamline marketing processes and accelerate business growth. The tool is user-friendly, lightning-fast, and backed by a 7-day money-back guarantee, ensuring customer satisfaction and confidence in its services.

M1-Project is an AI-powered marketing assistant tool designed to help small businesses develop winning marketing strategies without breaking the bank. It offers a range of tools such as Marketing Strategy Generator, ICP Generator, Facebook Ad Generator, Marketing Activities Generator, and Homepage Roaster to streamline marketing processes and boost business growth. The platform also provides case studies showcasing real results achieved by customers using AI insights. With a focus on AI-driven solutions, M1-Project aims to empower users with valuable marketing assistance and insights.

Forecast is an AI-powered resource and project management software that helps businesses optimize their resources, plan their projects, and manage their tasks more efficiently. It offers a range of features such as resource management, project management, financial management, artificial intelligence, business intelligence, and reporting, timesheets, and integrations. Forecast is trusted by businesses of all sizes, from small businesses to large enterprises, and has been recognized for its innovation and effectiveness by leading industry analysts.

CostGPT is an AI application that simplifies software project planning by providing comprehensive roadmaps with detailed estimates like costs, features, sitemaps, and milestones. It offers a user-friendly interface for project managers, developers, and business owners to plan and execute software projects efficiently. CostGPT is trained on data from over 2000 projects using machine learning algorithms, ensuring accurate project planning from concept to completion.

Connected-Stories is the next generation of Creative Management Platforms powered by AI. It is a cloud-based platform that helps creative teams to manage their projects, collaborate with each other, and track their progress. Connected-Stories uses AI to automate many of the tasks that are typically associated with creative management, such as scheduling, budgeting, and resource allocation. This allows creative teams to focus on their work and be more productive.

Timeular is an AI-powered time tracking software that helps teams track time, manage leave, and gain insights into their productivity. It offers a range of features such as automatic time tracking, physical time tracker, quicktrack, leave and work hours tracking, billable time tracking, flexible work hours settings, mobile companion, personalized productivity insights, budget alerts, automated time entry creation, and reminders. Timeular prioritizes privacy and security, ensuring that user data is protected and GDPR compliant.

GhostMeet is a meeting management tool that uses AI to help businesses improve the quality of their meetings. It offers features such as Ghost Links, Trust Budgets, and AI Integration to help businesses streamline meeting purpose, manage meeting approvals, and ensure meetings align with organizational goals. GhostMeet is easy to use, super secure, and is always improving with user feedback.

Allcancode is a platform that helps individuals and companies bring their product ideas to market quickly and efficiently. From idea-stage startups to established companies, Allcancode transforms ideas into marketable products by providing a dedicated tech team, tools, and methodology to accelerate the development process. The platform offers services such as discovery and design, development, delivery, and evolution phases, ensuring that the product development journey is smooth and transparent. With a focus on speed, quality, and flexibility, Allcancode empowers users to access their source code, stay on budget, and launch successful products.

Please Don't Code is an AI Code Generator specifically designed for Arduino and ESP32 electronic boards. It offers a cutting-edge code generation automation service to empower freelance programmers and small/medium businesses in bringing their prototype projects to life in significantly less time compared to manual coding approaches. The platform aims to expedite and automate low-level code development processes, providing quality solutions and efficiency at a budget-friendly scale for professionals and Small/Medium Enterprises.

Karbon is an AI-powered practice management software designed for accounting firms to increase visibility, control, automation, efficiency, collaboration, and connectivity. It offers features such as team collaboration, workflow automation, project management, time & budgets tracking, billing & payments, reporting & analysis, artificial intelligence integration, email management, shared inbox, calendar integration, client management, client portal, eSignatures, document management, and enterprise-grade security. Karbon enables firms to automate tasks, work faster, strengthen connections, and drive productivity. It provides services like group onboarding, guided implementation, and enterprise resources including articles, ebooks, and videos for accounting firms. Karbon also offers live training, customer support, and a practice excellence scorecard for firms to assess their performance. The software is known for its AI and GPT integration, helping users save time and improve efficiency.

Protect AI is a comprehensive platform designed to secure AI systems by providing visibility and manageability to detect and mitigate unique AI security threats. The platform empowers organizations to embrace a security-first approach to AI, offering solutions for AI Security Posture Management, ML model security enforcement, AI/ML supply chain vulnerability database, LLM security monitoring, and observability. Protect AI aims to safeguard AI applications and ML systems from potential vulnerabilities, enabling users to build, adopt, and deploy AI models confidently and at scale.

SentinelOne is an advanced enterprise cybersecurity AI platform that offers a comprehensive suite of AI-powered security solutions for endpoint, cloud, and identity protection. The platform leverages AI technology to anticipate threats, manage vulnerabilities, and protect resources across the enterprise ecosystem. SentinelOne provides real-time threat hunting, managed services, and actionable insights through its unified data lake, empowering security teams to respond effectively to cyber threats. With a focus on automation, efficiency, and value maximization, SentinelOne is a trusted cybersecurity solution for leading enterprises worldwide.

Brand24 is a powerful AI-powered social listening tool that helps businesses protect their brand reputation, measure their brand awareness, analyze their competitors, and discover customer insights. With Brand24, you can track mentions of your brand across social media, news, blogs, videos, forums, podcasts, reviews, and more. You can also use Brand24 to track hashtags, measure the reach of your marketing campaigns, and get access to valuable customer insights.

Pseudoface is an AI application that allows users to create AI-generated faces to maintain anonymity in content creation. It offers a solution for creators who want to hide their real identity while still engaging with their audience. Pseudoface uses advanced AI algorithms to generate realistic face filters tailored to the user's facial features. The tool aims to provide privacy and security for content creators by allowing them to control how they appear online without compromising their identity.

Blackbird.AI is a narrative and risk intelligence platform that helps organizations identify and protect against narrative attacks created by misinformation and disinformation. The platform offers a range of solutions tailored to different industries and roles, enabling users to analyze threats in text, images, and memes across various sources such as social media, news, and the dark web. By providing context and clarity for strategic decision-making, Blackbird.AI empowers organizations to proactively manage and mitigate the impact of narrative attacks on their reputation and financial stability.

AI Central is a powerful tool designed to take control of your AI services with minimal overhead. It is built on Asp.Net Core and dotnet 8, offering fast web-server performance. The tool enables advanced Azure APIm scenarios, PII stripping logging to Cosmos DB, token metrics through Open Telemetry, and intelligent routing features. AI Central supports various endpoint selection strategies, proxying asynchronous requests, custom OAuth2 authorization, circuit breakers, rate limiting, and extensibility through plugins. It provides an extensibility model for easy plugin development and offers enriched telemetry and logging capabilities for monitoring and insights.

LoLLMs WebUI (Lord of Large Language Multimodal Systems: One tool to rule them all) is a user-friendly interface to access and utilize various LLM (Large Language Models) and other AI models for a wide range of tasks. With over 500 AI expert conditionings across diverse domains and more than 2500 fine tuned models over multiple domains, LoLLMs WebUI provides an immediate resource for any problem, from car repair to coding assistance, legal matters, medical diagnosis, entertainment, and more. The easy-to-use UI with light and dark mode options, integration with GitHub repository, support for different personalities, and features like thumb up/down rating, copy, edit, and remove messages, local database storage, search, export, and delete multiple discussions, make LoLLMs WebUI a powerful and versatile tool.

**Promptulate** is an AI Agent application development framework crafted by **Cogit Lab** , which offers developers an extremely concise and efficient way to build Agent applications through a Pythonic development paradigm. The core philosophy of Promptulate is to borrow and integrate the wisdom of the open-source community, incorporating the highlights of various development frameworks to lower the barrier to entry and unify the consensus among developers. With Promptulate, you can manipulate components like LLM, Agent, Tool, RAG, etc., with the most succinct code, as most tasks can be easily completed with just a few lines of code. 🚀

Actual AI is a project designed to categorize uncategorized transactions for Actual Budget using OpenAI or OpenAI specification compatible API. It sends requests to the OpenAI API to classify transactions based on their description, amount, and notes. Transactions that cannot be classified are marked as 'not guessed' in notes. The tool allows users to sync accounts before classification and classify transactions on a cron schedule. Guessed transactions are marked in notes for easy review.

LiteLLM is a tool that allows you to call all LLM APIs using the OpenAI format. This includes Bedrock, Huggingface, VertexAI, TogetherAI, Azure, OpenAI, and more. LiteLLM manages translating inputs to provider's `completion`, `embedding`, and `image_generation` endpoints, providing consistent output, and retry/fallback logic across multiple deployments. It also supports setting budgets and rate limits per project, api key, and model.

Ianvs is a distributed synergy AI benchmarking project incubated in KubeEdge SIG AI. It aims to test the performance of distributed synergy AI solutions following recognized standards, providing end-to-end benchmark toolkits, test environment management tools, test case control tools, and benchmark presentation tools. It also collaborates with other organizations to establish comprehensive benchmarks and related applications. The architecture includes critical components like Test Environment Manager, Test Case Controller, Generation Assistant, Simulation Controller, and Story Manager. Ianvs documentation covers quick start, guides, dataset descriptions, algorithms, user interfaces, stories, and roadmap.

DB-GPT-Hub is an experimental project leveraging Large Language Models (LLMs) for Text-to-SQL parsing. It includes stages like data collection, preprocessing, model selection, construction, and fine-tuning of model weights. The project aims to enhance Text-to-SQL capabilities, reduce model training costs, and enable developers to contribute to improving Text-to-SQL accuracy. The ultimate goal is to achieve automated question-answering based on databases, allowing users to execute complex database queries using natural language descriptions. The project has successfully integrated multiple large models and established a comprehensive workflow for data processing, SFT model training, prediction output, and evaluation.

Flow Prompt is a dynamic library for managing and optimizing prompts for large language models. It facilitates budget-aware operations, dynamic data integration, and efficient load distribution. Features include CI/CD testing, dynamic prompt development, multi-model support, real-time insights, and prompt testing and evolution.

Devoxx Genie is a Java-based IntelliJ IDEA plugin that integrates with local and cloud-based LLM providers to aid in reviewing, testing, and explaining project code. It supports features like code highlighting, chat conversations, and adding files/code snippets to context. Users can modify REST endpoints and LLM parameters in settings, including support for cloud-based LLMs. The plugin requires IntelliJ version 2023.3.4 and JDK 17. Building and publishing the plugin is done using Gradle tasks. Users can select an LLM provider, choose code, and use commands like review, explain, or generate unit tests for code analysis.

Holloway's Upscaler is a consolidation of various compiled open-source AI image/video upscaling products for a CLI-friendly image and video upscaling program. It provides low-cost AI upscaling software that can run locally on a laptop, programmable for albums and videos, reliable for large video files, and works without GUI overheads. The repository supports hardware testing on various systems and provides important notes on GPU compatibility, video types, and image decoding bugs. Dependencies include ffmpeg and ffprobe for video processing. The user manual covers installation, setup pathing, calling for help, upscaling images and videos, and contributing back to the project. Benchmarks are provided for performance evaluation on different hardware setups.

Awesome LLM Apps is a curated collection of applications that leverage RAG with OpenAI, Anthropic, Gemini, and open-source models. The repository contains projects such as Local Llama-3 with RAG for chatting with webpages locally, Chat with Gmail for interacting with Gmail using natural language, Chat with Substack Newsletter for conversing with Substack newsletters using GPT-4, Chat with PDF for intelligent conversation based on PDF documents, and Chat with YouTube Videos for engaging with YouTube video content through natural language. Users can clone the repository, navigate to specific project directories, install dependencies, and follow project-specific instructions to set up and run the apps. Contributions are encouraged, and new app ideas or improvements can be submitted via pull requests.

Spider is a high-performance web crawler and indexer designed to handle data curation workloads efficiently. It offers features such as concurrency, streaming, decentralization, headless Chrome rendering, HTTP proxies, cron jobs, subscriptions, smart mode, blacklisting, whitelisting, budgeting depth, dynamic AI prompt scripting, CSS scraping, and more. Users can easily get started with the Spider Cloud hosted service or set up local installations with spider-cli. The tool supports integration with Node.js and Python for additional flexibility. With a focus on speed and scalability, Spider is ideal for extracting and organizing data from the web.

BoCoEL is a tool that leverages Bayesian Optimization to efficiently evaluate large language models by selecting a subset of the corpus for evaluation. It encodes individual entries into embeddings, uses Bayesian optimization to select queries, retrieves from the corpus, and provides easily managed evaluations. The tool aims to reduce computation costs during evaluation with a dynamic budget, supporting models like GPT2, Pythia, and LLAMA through integration with Hugging Face transformers and datasets. BoCoEL offers a modular design and efficient representation of the corpus to enhance evaluation quality.

Council is an open-source platform designed for the rapid development and deployment of customized generative AI applications using teams of agents. It extends the LLM tool ecosystem by providing advanced control flow and scalable oversight for AI agents. Users can create sophisticated agents with predictable behavior by leveraging Council's powerful approach to control flow using Controllers, Filters, Evaluators, and Budgets. The framework allows for automated routing between agents, comparing, evaluating, and selecting the best results for a task. Council aims to facilitate packaging and deploying agents at scale on multiple platforms while enabling enterprise-grade monitoring and quality control.

Robyn is an experimental, semi-automated and open-sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. It uses various machine learning techniques to define media channel efficiency and effectivity, explore adstock rates and saturation curves. Built for granular datasets with many independent variables, especially suitable for digital and direct response advertisers with rich data sources. Aiming to democratize MMM, make it accessible for advertisers of all sizes, and contribute to the measurement landscape.

This simple package can be used to fix an invalid json string. To know all cases in which this package will work, check out the unit test. Inspired by https://github.com/josdejong/jsonrepair Motivation Some LLMs are a bit iffy when it comes to returning well formed JSON data, sometimes they skip a parentheses and sometimes they add some words in it, because that's what an LLM does. Luckily, the mistakes LLMs make are simple enough to be fixed without destroying the content. I searched for a lightweight python package that was able to reliably fix this problem but couldn't find any. So I wrote one How to use from json_repair import repair_json good_json_string = repair_json(bad_json_string) # If the string was super broken this will return an empty string You can use this library to completely replace `json.loads()`: import json_repair decoded_object = json_repair.loads(json_string) or just import json_repair decoded_object = json_repair.repair_json(json_string, return_objects=True) Read json from a file or file descriptor JSON repair provides also a drop-in replacement for `json.load()`: import json_repair try: file_descriptor = open(fname, 'rb') except OSError: ... with file_descriptor: decoded_object = json_repair.load(file_descriptor) and another method to read from a file: import json_repair try: decoded_object = json_repair.from_file(json_file) except OSError: ... except IOError: ... Keep in mind that the library will not catch any IO-related exception and those will need to be managed by you Performance considerations If you find this library too slow because is using `json.loads()` you can skip that by passing `skip_json_loads=True` to `repair_json`. Like: from json_repair import repair_json good_json_string = repair_json(bad_json_string, skip_json_loads=True) I made a choice of not using any fast json library to avoid having any external dependency, so that anybody can use it regardless of their stack. Some rules of thumb to use: - Setting `return_objects=True` will always be faster because the parser returns an object already and it doesn't have serialize that object to JSON - `skip_json_loads` is faster only if you 100% know that the string is not a valid JSON - If you are having issues with escaping pass the string as **raw** string like: `r"string with escaping\"" Adding to requirements Please pin this library only on the major version! We use TDD and strict semantic versioning, there will be frequent updates and no breaking changes in minor and patch versions. To ensure that you only pin the major version of this library in your `requirements.txt`, specify the package name followed by the major version and a wildcard for minor and patch versions. For example: json_repair==0.* In this example, any version that starts with `0.` will be acceptable, allowing for updates on minor and patch versions. How it works This module will parse the JSON file following the BNF definition: ::= | ::= | | ; Where: ; is a valid real number expressed in one of a number of given formats ; is a string of valid characters enclosed in quotes ; is one of the literal strings 'true', 'false', or 'null' (unquoted) ::=