Alternatives to Jev
Compare Jev alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Jev in 2026. Compare features, ratings, user reviews, pricing, and more from Jev competitors and alternatives in order to make an informed decision for your business.
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1
Clef
Cloudflare
Clef is a 27B multimodal decision model that turns a state and a schema of typed questions into structured decisions. It can read state information as text, JSON, images, or video and return a probability for every allowed option of every question. The model supports a 65,536-token context window and vision inputs, allowing developers to evaluate both structured application data and visual content in the same decision workflow. Clef supports three typed question formats: noul for estimating the probability that a proposition is true, choice for selecting among predefined options and returning per-option probabilities, and score for evaluating an input against ordered criteria and producing a probability-weighted score. Applications can submit between 1 and 64 questions in a single request, with answers returned under the same question IDs. -
2
Clef-flash
Cloudflare
Clef-flash is a fast 9B multimodal decision model that turns a state and a schema of typed questions into structured decisions. It can read state information as text, JSON, images, or video and returns a probability for every allowed option of every question. The model supports a 24,576-token context window and vision input, allowing developers to evaluate structured application data and visual content within the same workflow. Clef Flash supports three typed question formats: noul for estimating the probability that a proposition is true, choice for selecting among predefined options with per-option probabilities, and score for evaluating an input against ordered criteria and returning a probability-weighted score. Applications can submit from 1 to 64 questions in a single request, with answers returned under the same question IDs. Example uses include deciding whether a support request is urgent, routing it to the correct team, and scoring the severity of customer impact. -
3
Liquid d1
Liquid AI
d1 is Liquid AI’s first decision model, built to answer structured questions about a situation with probabilities rather than generating text. It takes unstructured data such as text, images, or both, along with one or more questions, processes them in a single forward pass, and returns probabilities without generating output tokens. d1 supports three question types: noul for yes-or-no decisions, choice for selecting among labels with a probability for each option, and score for placing an input on an ordered scale using probability-weighted levels. Multiple questions can be evaluated against the same state in one request, making it useful for real-time decision workflows. Liquid AI demonstrates d1 across applications such as filtering support tickets, browsing code repositories, organizing documents into smart folders, operating websites, compacting agent context, inspecting industrial parts, and playing games from screenshots.Starting Price: Free -
4
Microsoft-Decision-1
Microsoft
Microsoft-Decision-1 is a fast decision-scoring model built for structured outputs that software can immediately act on. It is designed for routing, classification, prioritization, verification, and workflow control across applications, agents, and automated systems. The model is post-trained from Qwen3.5-9B for single-pass decision scoring and, when given a fixed set of answer options, returns a calibrated probability for each one. It supports yes/no, multiple-choice, rating, and rubric-based grading of AI responses and agent actions through a structured API. Microsoft evaluated the model across 36 benchmarks covering routing, ranking, long context, multilingual and out-of-distribution tasks, reasoning, and safety, and reports that it achieved the highest accuracy in that comparison while also delivering very low latency. The model is also designed for robustness, with testing focused on keeping decisions stable when prompts are paraphrased.Starting Price: $0.042 per 1M tokens -
5
OpenAI Decisions API
OpenAI
The Decisions API turns text and images into typed decisions an application can use, evaluating inputs about 10x faster than the Responses API. Developers provide a model, shared input evidence, and one or more questions describing what should be evaluated, and the API returns structured answers that can be used to classify content, route requests, prioritize work, or make threshold-based decisions. It supports three question types: predicate checks whether a condition is true and returns a probability from 0 to 1; choice selects one value from a fixed set and returns option probabilities and confidence; and score evaluates an input against ordered rubric levels and returns a probability-weighted score. Inputs can be plain text or user messages containing both text and images, allowing applications to evaluate cases such as visible product damage, request intent, document type, issue severity, or answer relevance. -
6
Perplexity Decider
Perplexity
Perplexity Decider is a 27B decision model fine-tuned from Qwen3.8-27B for structured classification and multimodal decision tasks. Rather than generating unrestricted text, it takes an input state and a typed decision schema, then returns the selected result together with calibrated probabilities. The model supports choice decisions for selecting among predefined categories and noul decisions for estimating the probability of a yes-or-no condition. It can also accept images alongside text, allowing applications to make decisions from screenshots or other visual inputs. Example workflows include routing a support request to billing, technical support, or sales, and estimating whether a message expresses urgency. Perplexity reports an overall accuracy of 85.71% across 11 benchmarks, including FinancialPhraseBank, RAGTruth, JudgeBench, TabFact, ContractNLI, Circa, Belebele, and TruthfulQA binary.Starting Price: Free -
7
Perplexity Decisions API
Perplexity
Perplexity’s Decisions API is built for fast, structured decisions that software can use directly. Instead of generating free-form text, it reads natural-language text, JSON, or images as shared state and returns typed answers with probabilities. Developers can attach one or more named questions to the same input and choose among three question types. noul handles yes-or-no judgments and returns the probability of yes from 0 to 1. choice selects from developer-defined options and returns the most likely option, the probability of every option, and a confidence score. score evaluates content against an ordered rubric and returns a probability-weighted score, the full probability distribution, and confidence. The API is designed for tasks such as classification, routing, grading against a rubric, severity assessment, sentiment analysis, or any decision that can be compared against a threshold. -
8
Laya AI
Laya AI
Laya AI is an open source family of non-autoregressive System 1 decision models built for fast, typed decisions instead of free-form text generation. Given a state and structured questions, Laya evaluates them in a single forward pass and returns outputs that application code can use directly. It supports three decision types: choice, which selects among named options and returns probabilities; score, which places an input on an ordered rubric such as urgency or severity; and noul, which estimates the probability that a proposition is true. Laya is designed for workloads such as agent and model routing, support ticket triage, guardrails, intent classification, risk and fraud scoring, workflow escalation, RAG filtering, moderation, and phishing detection. It can route requests by department, score urgency, flag refund or churn signals, detect policy or abuse conditions, and escalate uncertain cases to a larger model or human reviewer.Starting Price: Free -
9
Tev1
Together AI
Tev1 is a fast decision and classification model built by Together AI and fine-tuned from Qwen3.5 4B. It is designed around a simple interface: provide a piece of state, a question, and 2 to 24 labeled options, and the model returns exactly one letter that software can map back to a semantic key. This structure supports production tasks such as routing support tickets, evaluating automated returns, applying policy rules, rating sentiment, categorizing documents, and inserting deterministic decision points into larger agent pipelines. The model has 4.7B parameters, a 32.8K-token context window, and runs with non-thinking generation for fast, predictable classification. It was trained on 37,840 examples spanning intent detection, boolean comprehension, sentiment, policy application, routing, news categories, and research-paper taxonomy. Recommended settings use temperature 0 and a very small output budget so responses remain stable and easy to parse.Starting Price: $0.04 per 1M tokens -
10
Strands Decider
Strands Labs
Strands Decider is a small, fast decision model, or System One model, built for agentic AI workflows. Unlike an LLM that generates arbitrary text, it chooses between predefined options, answers yes-or-no questions, or rates inputs on an ordered scale. Each decision includes calibrated confidence, making it possible to send uncertain cases to a larger model or a human while handling routine decisions quickly. The first model in the family, strands-decider-2B, has 1.9 billion parameters and is based on a Qwen3.5-2B-Base torso with its language-modeling head replaced by a lightweight pointer head. It evaluates answers in one forward pass without text generation or a decoding loop. Supported decision types include choice, noul for probability-of-true questions, and score for ordered scales. The model is designed for tasks such as model routing, tool selection, tool-argument checking, request triage, grounding and safety guardrails, policy classification, and low-cost evaluation.Starting Price: Free -
11
SubQ Snap
Subquadratic
SubQ Snap is a long-context decision model for enterprise and agentic workflows, built to make structured decisions quickly over large amounts of information. It handles tasks such as choosing which files are relevant, selecting the next tool, checking whether a result passes, deciding whether a workflow should continue, and determining when a frontier model is needed. Instead of generating open-ended text, Snap takes context, a question, and a finite set of allowed answers, then returns a probability distribution over those answers. It supports up to 384K tokens of mixed text and image context, allowing it to reason over codebases, contracts, interaction histories, logs, screenshots, charts, diagrams, and scanned pages in a single call. Powered by Subquadratic Sparse Attention, Snap reduces the cost of reading long inputs while a decision head maps contextual representations directly to admissible answers without autoregressive generation.Starting Price: $0.05 per million input tokens -
12
SubQ Snap 1.1
Subquadratic
SubQ Snap is a hosted multimodal decision model for developers building AI agents and enterprise workflows. Through Subquadratic’s API, applications send text or image context with defined questions and receive structured answers such as labels, choices, scores, and probabilities. This supports tasks including tool and file selection, routing, triage, guardrails, ranking, classification, and checking whether a test or result meets specified criteria. The model accepts up to 384K tokens of context and supports image input. It is designed for bounded decisions rather than open-ended text generation, so it can be used alongside a language model that handles planning or writing. Public-preview API documentation includes request examples, model access details, and decision formats.Starting Price: $0.05/1M input tokens -
13
Span-01
Respan
Span-01 is a hyper-parallel reasoning classifier built to detect complex behaviors across long production traces in a single forward pass. Rather than generating tokens sequentially, it reasons over natural-language behavior definitions and returns direct probabilities for present, absent, and not_observable. The model is trained for general classification reasoning with RLAIF before being specialized for behavior detection, allowing it to apply previously unseen definitions to new behaviors and domains instead of relying on a fixed taxonomy. At inference time, hyper-parallel definition branches evaluate multiple behaviors against the same trace context simultaneously, while hybrid attention helps preserve reasoning over long, complex inputs. Span-01 is designed for production monitoring across safety, reliability, grounding, agent behavior, and response quality, including jailbreak and prompt injection detection, privacy, and secrets.Starting Price: $199 per month -
14
Solar Decide
Upstage
Solar Decide is Upstage’s structured decision model, serving as a System One endpoint on Solar Mini 4. Instead of generating prose, it takes a state together with one or more typed questions and returns a choice, score, or yes/no answer with calibrated probabilities taken directly from the model. Each question is handled in a single forward pass, making the model suited to fast classification, routing, policy checks, prioritization, and other structured decision tasks. The choice type selects among predefined options and returns the selected option, individual probabilities, and confidence. The score type evaluates an input against ordered criteria and returns a probability-weighted score, legend, probability distribution, and confidence. The noul type returns the probability that a yes-or-no proposition is true. Multiple questions can share the same state in one request, and the state can be provided as text or any JSON value serialized into the prompt.Starting Price: $0.1 per 1M tokens -
15
Prisma ORM
Prisma.io
Prisma ORM is the type-safe ORM for TypeScript and Node.js, built for humans and AI coding agents. A declarative schema agents can parse, a type-safe client, and migrations with clear guardrails so agents can read your data model, plan queries, and migrate safely inside agent loops (structured errors, inspectable plans, CLI). Use Prisma Client against PostgreSQL, MySQL, SQLite, MongoDB, and more without a traditional ORM maze. On the same platform, Prisma Postgres is managed PostgreSQL (instant setup, built-in pooling) and Prisma Compute hosts TypeScript apps next to that data, so agents and teams get ORM, managed Postgres, and app hosting as one story.Starting Price: Free -
16
WunderGraph Cosmo
WunderGraph
WunderGraph is an open source, next-generation API platform designed to unify, manage, and accelerate how developers compose, integrate, and serve APIs from diverse backends (such as REST, gRPC, Kafka, and GraphQL) into a single, type-safe, high-performance API surface that modern applications can consume. It includes Cosmo, a full lifecycle API management solution for federated GraphQL that provides schema registry, composition checks, routing, analytics, metrics, tracing, and observability, all manageable via code in your existing development workflows rather than separate dashboards. WunderGraph lets teams define how multiple services should be composed into one API, automatically generate type-safe client libraries, and handle authentication, authorization, and API calls with built-in tooling that fits into CI/CD and Git-centric processes.Starting Price: $499 per month -
17
next-forge
Vercel
A mono repo template designed to have everything you need to build your new SaaS app as quickly as possible. Authentication, billing, analytics, SEO, database, ORM, and more, it's all here. Start building your app with a shadcn/ui template that's already set up with everything you need, Tailwind, Clerk, and more. Create an API microservice for many different apps, with a type-safe database ORM. Create and preview email templates with a React-based email library. A blocks website template with a type-safe blog, bulletproof SEO, and legal pages, powered by Content Collections. Simple, beautiful out of the box, and easy-to-maintain documentation. Use Prisma Studio to visualize your database, and generate Prisma client code. Get from zero to production in minutes. -
18
Contentlayer
Contentlayer
Contentlayer is a content preprocessor that validates and transforms your content into type-safe JSON, which you can easily import into your application. It provides a seamless abstraction between your Markdown files or CMS and your application, allowing you to import and manipulate your content as data directly with JavaScript or TypeScript methods. This eliminates the need to learn new query languages or navigate complex APIs. Contentlayer ensures that your data is properly structured across your application by automatically generating type definitions and configurable data validations. It supports integration with various site frameworks and content sources, including MDX, Notion, and Sanity. By facilitating incremental and parallel builds, instant content live-reload, and scalability to handle thousands of documents, Contentlayer enhances both developer experience and application performance. -
19
Hypertune
Hypertune
Hypertune is the most flexible platform for feature flags, A/B testing, analytics and app configuration. Built with full end-to-end type-safety, Git-style version control and local, synchronous, in-memory flag evaluation. - Define type-safe, custom inputs like the current User, Organization, etc, and use them in feature flag rules to target exactly the users you want. - Create variables like user segments that you can reuse across different feature flags, and instantly debug flags for each user. - A/B tests, percentage-based rollouts, multivariate tests and machine learning loops let you seamlessly rollout, test and optimize new features. - Log analytics events with type-safe, custom payloads, and build flexible funnels and charts in the dashboard to measure the impact of every feature release. - Initialize the SDK with only the feature flags you need and partially evaluate flag logic on the edge for performance and security.Starting Price: $0 -
20
PydanticAI
Pydantic
PydanticAI is a Python-based agent framework designed to simplify the development of production-grade applications using generative AI. Built by the team behind Pydantic, the framework integrates seamlessly with popular AI models such as OpenAI, Anthropic, Gemini, and others. It offers type-safe design, real-time debugging, and performance monitoring through Pydantic Logfire. PydanticAI also provides structured responses by leveraging Pydantic to validate model outputs, ensuring consistency. The framework includes a dependency injection system to support iterative development and testing, as well as the ability to stream LLM outputs for rapid validation. It is ideal for AI-driven projects that require flexible and efficient agent composition using standard Python best practices. We built PydanticAI with one simple aim: to bring that FastAPI feeling to GenAI app development.Starting Price: Free -
21
Fern
Fern
Stripe-level SDKs and Docs for your API. Offer type-safe SDKs in the most popular languages. Let Fern do the heavy lifting of generating and publishing client libraries so your team can focus on building the API. Import your API definition, whether it's in OpenAPI or Fern's simpler format. Select which code generators you'd like to use: TypeScript, Python, Java, Go, Ruby, C#, Swift. Fern semantically versions and publishes packages to each registry (e.g. npm, pypi, maven). Beautiful API documentation that reflects your brand.Starting Price: $250 per month -
22
C#
Microsoft
C# (also known as C Sharp, pronounced "See Sharp") is a modern, object-oriented, and type-safe programming language. C# enables developers to build many types of secure and robust applications that run in .NET. C# has its roots in the C family of languages and will be immediately familiar to C, C++, Java, and JavaScript programmers. This tour provides an overview of the major components of the language in C# 8 and earlier. C# is an object-oriented, component-oriented programming language. C# provides language constructs to directly support these concepts, making C# a natural language in which to create and use software components. Since its origin, C# has added features to support new workloads and emerging software design practices. At its core, C# is an object-oriented language. You define types and their behavior.Starting Price: Free -
23
Streamline and simplify Kubernetes (north-south) network traffic management, delivering consistent, predictable performance at scale without slowing down your apps. Advanced app‑centric configuration – Use role‑based access control (RBAC) and self‑service to set up security guardrails (not gates), so your teams can manage their apps securely and with agility. Enable multi‑tenancy, reusability, simpler configs, and more. A native, type‑safe, and indented configuration style to simplify capabilities like circuit breaking, sophisticated routing, header manipulation, mTLS authentication, and WAF. Plus if you’re already using NGINX, NGINX Ingress resources make it easy to adapt existing configuration from your other environments.
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24
ent
ent
An entity framework for Go. Simple, yet powerful ORM for modeling and querying data. Simple API for modeling any database schema as Go objects. Run queries, and aggregations and traverse any graph structure easily. 100% statically typed and explicit API using code generation. The latest version of Ent now includes a type-safe API enabling ordering by fields and edges. This API will soon be available in our GraphQL integration too. You can now visualize your Ent schema as an ERD with one command. The API enables you to easily integrate features such as logging, tracing, caching, and even implementing soft deletion with 20 lines of code! The Ent framework supports GraphQL using the 99designs/gqlgen library and provides various integrations. Generating a GraphQL schema for nodes and edges defined in an Ent schema. Efficient field collection to overcome the N+1 problem without requiring data loaders.Starting Price: Free -
25
ManyPI
ManyPI
ManyPI is a modern web data extraction and API generation platform that turns any website into a type-safe, structured API with schema definition, extraction, transformation, and synchronization built into one system, enabling developers and data teams to reliably gather clean JSON data without building custom scrapers. Its AI-powered workflow lets users specify a site and the fields they need, automatically defines a schema with risk assessment, generates a production-ready API in seconds, and delivers structured data through a RESTful, developer-friendly interface with SDKs, type safety, and predictable JSON responses. ManyPI supports scalable extraction tasks, global infrastructure for performance and uptime, and integration into existing apps or pipelines via code or dashboard, and it also provides visual schema building and connectors for no-code platforms like Zapier and Make, so workflows can automate data collection, enrichment, and reporting without heavy engineering.Starting Price: $5 per month -
26
TypeGPU
Software Mansion
TypeGPU is a TypeScript library that enhances the WebGPU API, allowing resource management in a type-safe, declarative way. It is designed to change the way developers work with GPU rendering and computing by bringing stronger structure, validation, and developer experience to WebGPU workflows. TypeGPU helps developers easily encode and decode GPU data, using typed binary so they do not have to think about raw bytes when writing GPU programs. Complex data types such as structs and arrays can be described directly, while TypeScript automatically validates outgoing and incoming data. It works on React Native through react-native-wgpu, expanding WebGPU development beyond the browser. TypeGPU’s roadmap is focused on end-to-end type safety on the GPU through interoperating primitives such as data structures, buffers, bind groups, a linker, functions, pipelines, and imperative code. -
27
Oorian
Corvus Engineering
Oorian is a server-side Java web framework for building interactive web applications without writing JavaScript. HTML elements are Java objects with type-safe styling, events are handled with standard Java listeners, and real-time updates flow automatically via AJAX, SSE, or WebSocket—your choice per page. Rather than reinventing UI components, Oorian wraps best-of-breed JavaScript libraries (AG Grid, Syncfusion, Chart.js, and 150+ more), so you get enterprise-grade components maintained by specialists. Battle-tested in production for over 10 years, Oorian is free for non-commercial use with commercial licensing available. -
28
BaseHub
BaseHub
BaseHub is a fast, collaborative, AI-native headless content management system that provides a modern content workflow optimized for speed, developer experience, and real-time teamwork, letting teams create, organize, collaborate on, and deliver content across digital platforms with ease. It offers a Notion-like editor built on blocks that support drag-and-drop content creation, nested structures, versioning, and branching workflows, so teams can experiment on branches, review changes, and merge updates into main content with confidence while retaining launch-ready history. BaseHub includes a type-safe GraphQL API and SDKs that enable developers to integrate content programmatically and query repositories from frameworks like Next.js or SvelteKit with minimal setup, supporting both dynamic and static content delivery.Starting Price: $15 per month -
29
Speakeasy
Speakeasy
Speakeasy is a platform that enhances API integration by generating handwritten, type-safe SDKs in over nine programming languages, including TypeScript, Python, Go, Java, and C#. These SDKs improve API integration times by up to 60% by eliminating the need for users to write boilerplate code, reducing common implementation errors, and expanding API accessibility across various programming communities. The platform also simplifies the creation of Terraform providers, allowing for the definition of resources and operations, automatic validation from OpenAPI specifications, and handling complex API landscapes. Additionally, Speakeasy offers end-to-end testing workflows to enforce API standards and protect against breaking changes, as well as SDK documentation that remains up-to-date with compilable usage snippets for every SDK method. Trusted by top API companies, Speakeasy's solutions are designed to provide robust SDKs, Terraform providers, and comprehensive testing tools.Starting Price: $250 per month -
30
Stepsailor
Stepsailor
Stepsailor is an AI-powered platform designed to transform customer education by integrating immersive learning experiences directly into your product. At its core is the AI command bar, which allows users to execute complex, multi-step workflows by simply describing their goals in natural language, eliminating the need for prompt engineering. This feature enables actions like creating continent-specific folders or automating repetitive tasks with ease. Stepsailor's type-safe SDK ensures that product teams can define commands using their existing coding knowledge, facilitating seamless integration without a steep learning curve. Stepsailor also provides valuable insights into user behavior by analyzing commands, helping teams identify pain points, and improving product experiences. With built-in human-in-the-loop concepts, schema validation, and data isolation, it maintains control and reliability in AI interactions.Starting Price: $35 per month -
31
Celeris-1
Celeris-1
Celeris-1 is a low-latency, general-purpose language model platform and a diffusion model designed to deliver frontier-level intelligence at dramatically higher speed. Instead of generating one token at a time like traditional autoregressive models, Celeris uses a diffusion-based inference architecture that enables parallel generation and response times measured in milliseconds. On its published MMLU-Pro benchmark, Celeris-1 reaches 75.9 accuracy with a 158 ms median response time and 1,664 output tokens per second, placing it within a few points of frontier models while running more than 10x faster. The model is exposed through an OpenAI-compatible API, so developers can point existing SDKs and clients at Celeris with minimal code changes. Streaming is enabled for interactive applications, with responses as low as 24 ms and no buffering or batch delay.Starting Price: $0.20 per 1M tokens -
32
Visual Basic
Microsoft
Visual Basic is an object-oriented programming language developed by Microsoft. Using Visual Basic makes it fast and easy to create type-safe .NET apps. Visual Basic focuses on supplying more of the features of the Visual Basic Runtime (microsoft.visualbasic.dll) to .NET Core and is the first version of Visual Basic focused on .NET Core. Many portions of the Visual Basic Runtime depend on WinForms and these will be added in a later version of Visual Basic. .NET is a free, open-source development platform for building many kinds of apps. With .NET, your code and project files look and feel the same no matter which type of app you're building. You have access to the same runtime, API, and language capabilities with each app. A Visual Basic program is built up from standard building blocks. A solution comprises one or more projects. A project in turn can contain one or more assemblies. Each assembly is compiled from one or more source files.Starting Price: Free -
33
Solarch
Solarch
Solarch is a backend-architecture tool where diagrams compile, validate, self-correct, document, and ship. Most AI tools generate code and hope the architecture catches up; Solarch flips that by generating architecture first, grounded in canonical patterns, validated by a strict Rules Engine, and refined through a self-correcting loop. The AI proposes, the rules verify, and only correct graphs land on the canvas. Users can type a sentence or sketch a box, and Solarch turns the intent in their head into a validated architecture, then turns that architecture into working code. The whole backend lives on a single surface, grounded by an AI architect, kept honest by rules, and type-safe end to end. Controllers, services, repositories, tables, DTOs, queues, and other backend parts are represented as node and edge graphs, with 8 node families and 16 semantic edge types.Starting Price: $5 per month -
34
Velite
Velite
Velite is a tool for building a type-safe data layer, transforming content files such as Markdown, MDX, YAML, JSON, or others into an application's data layer using Zod schemas. It offers out-of-the-box functionality, enabling developers to move content into a designated folder, define collection schemas, run Velite, and utilize the output data within their applications. By providing content field validation based on Zod schemas and auto-generating TypeScript types, Velite ensures type safety across the application. Its lightweight and efficient design leads to faster startup times and improved performance. Additionally, Velite includes built-in asset processing features, such as relative path resolving and image optimization, to streamline content management. Lightweight, high efficiency, still powerful, faster startup, and better performance. Built-in assets processing, such as relative path resolving, image optimization, etc. -
35
Sentio
Sentio
End-to-end observability platform to help you gain insights, secure assets and troubleshoot transactions for your decentralized applications. Use our type-safe, easy-to-use yet powerful SDK to collect and transform data based on smart contracts' events, transactions, traces, and states. Collected data are versioned for fast and easy iteration. Build low-code, real-time dashboards in seconds with powerful transformation and aggregation functions. Visualize metrics and easily zoom in and out at different timespan. Set up real-time alerts to notify your team via Slack, Telegram, Email and webhook so you can react quickly to critical events. Emit structured logs that are searchable and can be referenced from real-time dashboards. Sentio's mission is to accelerate DApp proliferation by bringing the best and battle-tested developer tools, infrastructure and philosophy to the crypto world. Leave your email to receive updates about our launch and gain early access to our beta release.Starting Price: Free -
36
LangMem
LangChain
LangMem is a lightweight, flexible Python SDK from LangChain that equips AI agents with long-term memory capabilities, enabling them to extract, store, update, and retrieve meaningful information from past interactions to become smarter and more personalized over time. It supports three memory types and offers both hot-path tools for real-time memory management and background consolidation for efficient updates beyond active sessions. Through a storage-agnostic core API, LangMem integrates seamlessly with any backend and offers native compatibility with LangGraph’s long-term memory store, while also allowing type-safe memory consolidation using schemas defined in Pydantic. Developers can incorporate memory tools into agents using simple primitives to enable seamless memory creation, retrieval, and prompt optimization within conversational flows. -
37
Bifrost
Bifrost
You can create entire component sets from Figma that are type-safe, conditionally render, and use default props from Figma. You can start with any screen from any flow and generate it. We will use any components you have already written and generate new ones as well. You can pull new design changes to any components you’ve generated even after you’ve added your own logic to them. Your engineers can focus on features that drive your business forward instead of repetitively creating new screens and components. Your designers can create and update screens without fear of messy handoffs. One click to pull new changes from Figma into an existing component or generate entire screens.Starting Price: $30 per month -
38
Metatype
Metatype
Build modular APIs with zero-trust and serverless deployment, no matter where and how your (legacy) systems are. And castle building is hard. Even the best teams can struggle to build according to the plans, especially with the ever-evolving needs and tech landscape complexities. Typegraphs are programmable virtual graphs describing all the components of your stack. They enable you to compose APIs, storage, and business logic in a type-safe manner. Typegate is a distributed HTTP/GraphQL query engine that compiles, optimizes, runs, and caches queries over typegraphs. It enforces authentication, authorization, and security for you. Install third parties as dependencies and start reusing components. The Meta CLI offers you live reloading and one-command deployment to Metacloud or your own instance. Metatype fills a gap in the tech landscape by introducing a new way to build fast and developer-friendly APIs.Starting Price: Free -
39
zkSync
Matter Labs
zkSync is Ethereum’s most user-centric ZK rollup. Unlike any other scaling approach, ZK rollup has no upper bound on the value it can securely handle in L2. Unlike optimistic rollups, all assets can be moved capital-efficiently and fast between ZK rollup and L1. zkSync has the lowest real tx costs across all existing and planned rollups. zkSync also supports meta-transactions, instant confirmations with economic finality, low-cost privacy, and more. Ease and fun of development are at the core of zkSync design. Integrate payments and atomic swaps in a few lines of code. Develop type-safe, functional style smart contracts on Zinc: a Rust-based framework. Deploy your existing EVM codebase with minimum modifications. -
40
PeerQuik
PeerQuik
PeerQuik is a Next.js 14 boilerplate that accelerates the creation of full‑featured B2C and P2P marketplaces by bundling over 23 production‑ready modules into one cohesive foundation. It provides dual‑role authentication (buyers and sellers) with Google OAuth and email/password flows, Stripe payments (one‑time, subscriptions, invoices), ratings, reviews, and favorites, plus a robust admin dashboard. Core utilities include automated sitemap and robots.txt generation, SEO optimizations, newsletter subscription footer, cron job scheduling, dynamic currency conversion, CAPTCHA‑protected forms, and built‑in email notifications. The stack leverages Tailwind CSS for a dark‑mode UI, React Hook Form with Zod for type‑safe validation, PostgreSQL integration, Docker‑ready deployment (Coolify‑compatible), and Vercel or self‑hosted VPS support, ensuring no vendor lock‑in.Starting Price: $79 per month -
41
TanStack
TanStack
TanStack is an open source, framework-agnostic collection of high-quality, headless, and type-safe utilities designed for modern web development, offering powerful capabilities in state management, data fetching, routing, UI logic, tables, data grids, charts, and reactive client-side storage. Its ecosystem includes core libraries such as TanStack Query for asynchronous server-state fetching and caching, TanStack Router for full-stack and client-side routing with full TypeScript inference and URL state support, and TanStack Table for headless, customizable tables and data grids across TS/JS frameworks. Additional tools, such as TanStack DB, extend the reactive store with live queries and optimistic mutations, while frameworks like TanStack Start provide a full-stack React experience, including SSR, streaming, server functions, and bundling, powered by its own router and Vite. Collectively, TanStack tools emphasize developer control, performance, scalability, and type safety.Starting Price: Free -
42
Xfile
Xfile
The world's by far fastest, most stable, and most complete file management system for Apple's OS. Feeling lonely and lost? Feeling like your OS vendor screwed you? Unfettered access to all filesystems, all data, and all operations. No more limiting to 'read-only' and read & write or hiding set ID and 'sticky' bits. All file permissions, user/system flags, and access control entries. The type-safe protections you need but Apple won't offer. Xfile is the core of a complete file management system written for professionals. Xfile alone includes complete support for all possible file system properties. Device numbers, major/minor device types, inodes, modes, soft/hard links, sticky bits, set ID bits, system/user flags, and file generation numbers. Access to all possible file systems (apfs, autofs, devfs, zfs, et al) and device mount info. And for those of you keen to learn more about your computer, there's no better way to start.Starting Price: $129 one-time payment -
43
TreeAge Pro
TreeAge Software
TreeAge Pro is a purpose-built environment for building and analyzing sophisticated health-economic and decision models visually. It enables health economists and decision analysts to develop transparent, executable models without relying on extensive programming. TreeAge Pro supports decision trees, Markov and state-transition models, partitioned survival models, patient-level simulation, discrete-event simulation, cost-effectiveness analysis, probabilistic sensitivity analysis, calibration, survival and hazard modeling, and more. Its visual model structure helps users understand how assumptions, pathways, calculations, and uncertainty lead to results, making complex models easier to validate, review, communicate, and maintain. TreeAge Pro is used by pharmaceutical, biotechnology and medical-device companies, HEOR consultancies, academic researchers, healthcare organizations, and other decision-analysis professionals worldwide. -
44
Astro
Astro Framework
Astro is the all-in-one web framework designed for speed. Pull your content from anywhere and deploy it everywhere, all powered by your favorite UI components and libraries. Astro optimizes your website as no other framework can. Leverage Astro's unique zero-JS frontend architecture to unlock higher conversion rates with better SEO. Astro was designed for your content. Fetch data from any CMS or work locally with type-safe Markdown and MDX APIs. Build personal and professional blogs with Astro's built-in Markdown support and content APIs. Stand out from the crowd with a lightning-fast site that ranks higher in SEO. Agencies use Astro to build fast websites, faster. Customize every site with full control over your frontend code. Time is money. Give your customers a better shopping experience and grow your business faster. Put your best foot forward with a portfolio that performs. Help people get to know you (and your work) faster.Starting Price: Free -
45
Mercury Edit 2
Inception
Mercury Edit 2 is part of Inception Labs’ Mercury family of AI models, designed to perform high-speed reasoning, coding, and editing tasks using a fundamentally different architecture from traditional large language models. It builds on Mercury 2, a diffusion-based reasoning model that generates and refines entire outputs in parallel rather than producing text token by token, enabling significantly faster performance and more responsive editing workflows. Instead of acting like a sequential “typewriter,” the system behaves more like an editor, starting with a rough draft and iteratively improving it across multiple tokens at once, which allows for real-time interaction and rapid iteration in tasks such as code editing, content generation, and agent-based workflows. This architecture delivers throughput of up to around 1,000 tokens per second, making it several times faster than conventional models while maintaining competitive reasoning quality across benchmarks.Starting Price: $0.25 per 1M input tokens -
46
Sup AI
Sup AI
Sup AI is a multi-LLM platform that merges outputs from several top large language models, such as GPT, Claude, Llama, and more, to generate richer, more accurate, and better-validated answers than any single model could provide. It applies real-time “logprob confidence scoring,” analyzing each token’s probability to detect uncertainty or hallucination; when a model’s confidence falls below a threshold, the response is halted, helping ensure that delivered answers remain high-quality and trustworthy. Sup’s “multi-model fusion” then compares, contrasts, and consolidates outputs from different models, cross-verifying and synthesizing the best parts into a final result. Sup also supports “multimodal RAG” (retrieval-augmented generation) to incorporate external data (text, PDFs, images) into context-aware responses, giving the AI access to factual sources and helping it “never forget” relevant information.Starting Price: $20 per month -
47
MiniMax M2.5
MiniMax
MiniMax M2.5 is a frontier AI model engineered for real-world productivity across coding, agentic workflows, search, and office tasks. Extensively trained with reinforcement learning in hundreds of thousands of real-world environments, it achieves state-of-the-art performance in benchmarks such as SWE-Bench Verified and BrowseComp. The model demonstrates strong architectural thinking, decomposing complex problems before generating code across more than ten programming languages. M2.5 operates at high throughput speeds of up to 100 tokens per second, enabling faster completion of multi-step tasks. It is optimized for efficient reasoning, reducing token usage and execution time compared to previous versions. With dramatically lower pricing than competing frontier models, it delivers powerful performance at minimal cost. Integrated into MiniMax Agent, M2.5 supports professional-grade office workflows, financial modeling, and autonomous task execution.Starting Price: Free -
48
Mercury 2
Inception
Mercury 2 is the first reasoning model fast enough to pick up the phone, a reasoning diffusion language model built for real-time voice agents. Instead of making callers wait through seconds of dead air while an autoregressive model generates thinking tokens one by one, Mercury 2 uses a diffusion large language model architecture to generate tokens in parallel, decoding 1000+ tokens per second on standard NVIDIA GPUs. That speed is fast enough to run a full reasoning pass and start speaking within the latency budget of a natural conversation, reducing the cost of reasoning from seconds of silence to roughly 300 milliseconds. Mercury models work by corrupting clean text into noise, then training a standard Transformer to reverse the process and predict clean text across all positions simultaneously. Because each denoising pass touches many tokens, generation uses the GPU more efficiently than one-token-at-a-time decoding, making custom-silicon-like speed possible on NVIDIA H100s. -
49
Ling 3.0 Tiny
Ant Group
Ling 3.0 Tiny is an open-weights reasoning model with 7.9B total parameters, 1.3B active parameters, and a 262K-token context window. Built with a mixture-of-experts architecture, it extends the open-weights Pareto frontier for intelligence versus active parameters and is small enough to run locally in many settings. The model scores 25 on the Artificial Analysis Intelligence Index, comparable to gpt-oss-120b (high, 24) while using 15x fewer total parameters and 4x fewer active parameters. This parameter efficiency comes with relatively high token usage, with 213M output tokens required to run the Intelligence Index. Ling 3.0 Tiny also shows substantial improvements in hallucination behavior over Ling-mini-2.0, improving its AA-Omniscience score by 59 points while maintaining similar accuracy. Rather than guessing when uncertain, it attempted only 37% of questions in the evaluation, resulting in a 30% hallucination rate compared with 96% for the previous generation. -
50
Step 3.5 Flash
StepFun
Step 3.5 Flash is an advanced open source foundation language model engineered for frontier reasoning and agentic capabilities with exceptional efficiency, built on a sparse Mixture of Experts (MoE) architecture that selectively activates only about 11 billion of its ~196 billion parameters per token to deliver high-density intelligence and real-time responsiveness. Its 3-way Multi-Token Prediction (MTP-3) enables generation throughput in the hundreds of tokens per second for complex multi-step reasoning chains and task execution, and it supports efficient long contexts with a hybrid sliding window attention approach that reduces computational overhead across large datasets or codebases. It demonstrates robust performance on benchmarks for reasoning, coding, and agentic tasks, rivaling or exceeding many larger proprietary models, and includes a scalable reinforcement learning framework for consistent self-improvement.Starting Price: Free
