AI Tools &amp; APIs

experiment-trackingfine-tuninghuggingface

W&B + Hugging Face

by Weights & Biases

Weights & Biases integrates directly into Hugging Face Trainer and PEFT via a built-in report_to callback, logging training loss curves, GPU utilization, gradient norms, and hyperparameters to shareable W&B runs. The integration supports sweep-based hyperparameter optimization and artifact versioning for model checkpoints.

52C+

time-seriesforecastingtemporal

Time-Series Forecasting

by Community

Predicts future values of sequential, time-indexed data using classical statistical models (ARIMA, ETS), gradient boosting (LightGBM, XGBoost), and deep learning architectures (Transformers, N-BEATS, TFT). Handles trend, seasonality, exogenous covariates, and uncertainty quantification.

51C+

securitydevsecopsvulnerability-scanning

Snyk AI Agent

by Snyk

AI-powered developer security agent that continuously scans code, dependencies, containers, and infrastructure-as-code for vulnerabilities. Provides automated fix pull requests, prioritizes issues by exploitability, and integrates directly into the developer workflow for shift-left security.

50C+

synthetic-datadata-augmentationgenerative-ai

Synthetic Data Generation

by Community

A process for creating artificial data that mimics the statistical properties and patterns of real-world datasets. It employs techniques like GANs, VAEs, and diffusion models to generate new data points, addressing issues of data scarcity, privacy, and imbalance. This enables robust model training and testing where real data is unavailable or sensitive.

46C

ProviderAI Tools & APIs

Weights & Biases

by Weights & Biases

Weights & Biases (W&B) is a leading MLOps platform for developers, specializing in experiment tracking, model evaluation, and dataset versioning. It provides tools to visualize model performance, manage datasets, and collaborate on machine learning projects, integrating with popular frameworks like PyTorch and TensorFlow.

mlopsexperiment-trackingobservability

46C

ai-gatewayllm-opsmulti-provider

Portkey + Multi-Provider

by Portkey

Portkey's AI gateway unifies over 200 LLM providers through a single OpenAI-compatible API. It enables automatic fallbacks, load balancing, and semantic caching to improve reliability and performance. The platform provides full observability, capturing detailed cost, latency, and metadata for every request.

45C

research-agentsearch-apireal-time

Tavily Research Agent

by Tavily

Tavily is a specialized search API designed for Large Language Models (LLMs) and AI agents. It provides real-time, fact-grounded web search results in a structured, clean format, eliminating the need for manual data cleaning. The API is optimized to deliver relevant, concise information, making it ideal for powering autonomous agents and RAG applications.

44C

Structured Output RAG

by AaaS

This skill involves building Retrieval-Augmented Generation (RAG) systems that output structured data, like JSON, conforming to a predefined schema. Instead of unreliable free-form text, it uses techniques like constrained decoding and validation to ensure outputs are machine-readable and ready for direct use in APIs or databases.

structured-outputragjson

44C

Web Scraping Pipeline

by AaaS

Automated web scraping pipeline with configurable crawl depth, content extraction, and rate limiting. Converts web content into clean text documents suitable for embedding and RAG ingestion with support for dynamic JavaScript-rendered pages.

scriptautomationscraping

43C

design-agentwireframingprototyping

Uizard AI

by Uizard Technologies

AI design assistant that transforms text descriptions, screenshots, and hand-drawn sketches into polished digital prototypes. Enables non-designers to rapidly create professional app and web mockups with zero design experience.

42C

observabilityragllamaindex

Arize Phoenix + LlamaIndex

by Arize AI

Arize Phoenix instruments LlamaIndex query pipelines with OpenTelemetry spans, exposing retrieval precision, reranker performance, and LLM generation quality in a local-first UI. The integration is particularly valuable for RAG applications where diagnosing retrieval failures requires joint analysis of embeddings, chunks, and generation outputs.

42C

research-agentopen-sourcestanford

STORM (Stanford)

by Stanford NLP

STORM is an open-source AI research agent from Stanford University designed to automate the creation of comprehensive, Wikipedia-style articles. It simulates a human research process by generating diverse questions, searching the web for information, and synthesizing the findings into a well-structured, cited narrative based on a generated outline.

41C

general-agentopen-sourceframework

SuperAGI

by TransformerOptimus

Open-source autonomous agent framework for building, managing, and running production-grade AI agents. Features a marketplace of tools, concurrent agent execution, performance telemetry, and a GUI for agent management and monitoring.

39D

time-seriespattern-miningsequential-patterns

Temporal Pattern Mining

by Community

Discovers recurring motifs, sequential association rules, and temporal dependencies within time-series corpora using motif discovery, episode mining, and shapelets-based methods. Enables interpretable feature extraction and behavioral pattern analysis from complex temporal datasets.

39D

Token Usage Analyzer

by AaaS

Analyzes token usage patterns across LLM applications to identify optimization opportunities. Tracks input/output token ratios, identifies verbose prompts, detects unnecessary context, and recommends prompt engineering improvements for cost reduction.

scriptautomationtokens

37D

Safety Audit Script

by AaaS

Comprehensive safety audit for LLM-powered applications testing for prompt injection vulnerabilities, PII leakage, harmful content generation, and policy violations. Generates detailed audit reports with severity ratings and remediation recommendations.

scriptautomationsafety

37D

scriptautomationregression

LLM Regression Testing

by AaaS

Detects regressions in LLM behavior across model updates, prompt changes, or configuration modifications. Runs golden test sets, compares outputs using semantic similarity and LLM judges, and flags significant quality degradation with detailed diff reports.

37D

observabilityevaluationlangchain

Opik + LangChain

by Comet ML

Opik by Comet provides an open-source LLM observability platform that integrates with LangChain via a callback handler, recording traces, token counts, and custom scores into a queryable dataset. The integration includes built-in hallucination and answer-relevance evaluators that run automatically on captured traces.

36D

scriptautomationred-teaming

Red Teaming Script

by AaaS

Automated red teaming toolkit that generates and tests adversarial prompts against LLM applications. Covers jailbreak attempts, prompt injection variants, social engineering patterns, and boundary probing with categorized attack vectors and success tracking.

35D