Helicone

AccessMath is a tool for making mathematical content accessible to screen reader users. Upload equations and AccessMath converts them to accessible formats that screen readers can pronounce. The tool …

Azure Kubernetes Service is Microsoft's managed Kubernetes with tight Azure integration. Pod Identity authenticates to Azure resources via managed identity. Virtual Nodes auto-scale serverless. Kubern…

Algorithmia (part of DataRobot) manages model deployment and scaling. Multi-language support. Versioning and rollback. Monitoring and alerts. Serverless inference.

ArangoDB combines document, key-value, and graph models in one database. Single query language (AQL) for all models. ACID transactions with multi-document support. High availability cluster. Used by A…

Arize monitors production ML models. Data drift, prediction drift, data quality. Explainability and attribution. Feature importance tracking. Series-B funding.

AWS FIS enables chaos experiments on AWS resources. Inject failures on EC2, RDS, ECS. Automatic rollback on thresholds. CloudWatch integration. Native AWS service.

Azure Chaos Studio brings chaos engineering to Azure. Experiments on Azure resources. Faults: shutdown, CPU pressure, disk fill. Integration with Application Insights. Preview service.

Azure ML provides end-to-end ML capabilities. Automated ML. Model training and evaluation. Model deployment and monitoring. Enterprise governance. Azure ecosystem integration.

Azure Monitor tracks metrics from Azure resources. Custom metrics from applications. Time-series storage for 93 days. Alerts and auto-scale rules. Diagnostic settings stream to Log Analytics.

BentoML is a framework for packaging and serving ML models. Docker containerization. Adaptive batching for throughput. A/B testing framework. Growing Python ecosystem adoption.

Bezel profiles Java applications in production to identify CPU and memory bottlenecks without code redeployment. The profiler traces lock contention and garbage collection pauses with nanosecond preci…

ChaosWorks enables controlled chaos experiments on production. Multi-cloud support (AWS, Azure, GCP). Automatic blast radius limitation. Rollback on anomalies. Used by enterprises at scale.

Citrix NetScaler is an application delivery controller for APIs and web apps. Persistent connections for mobile apps. DDoS protection. Compression and caching layers. Used by large enterprises. Solid …

ClearML is an open-source ML ops platform. Experiment tracking and management. Auto-scaling training clusters. Model registry and deployment. Machine learning DevOps.

Run AI inference at the edge with Cloudflare's global network. Deploys AI models close to users with low latency and no cold starts.

CostOptimizer suggests design changes to reduce PCB manufacturing cost. Component count reductions are identified. Layer reduction opportunities are found. Size optimization lowers material costs. Man…

MLflow is an open ML lifecycle platform. Track experiments, metrics, params. Model registry for versioning. Model serving with REST API. Integration with Spark. Industry standard.

AI-accelerated Docker build cloud that delivers up to 40x faster container builds than standard GitHub Actions runners through persistent remote caching and optimized build infrastructure. Zero config…

DesignRuleChecker ensures your PCB meets manufacturing requirements. You run checks against design rules. Trace width, spacing, and via requirements are validated. Manufacturability issues are caught …

Dremio democratizes data access by running SQL directly on data lakes without expensive copies into a data warehouse. It reflects schema changes instantly and caches hot data in memory for sub-second …

Dynatrace uses AI to automate root-cause analysis of performance issues across applications, infrastructure, and networks. Detects anomalies and suggests fixes without manual thresholds. Processes met…

EMCTester helps you understand electromagnetic compatibility issues. You check for potential EMI and EMC problems. Component selection is guided for compatibility. Shielding strategies are recommended…

Evidently detects data and model drift. Statistical tests for distribution changes. Interactive reports. Model performance dashboards. Open-source and cloud options.

Feast is an open feature store for ML. Central repository of features. Real-time feature serving. Historical data for training. Reduces feature engineering duplication. Uber-originated.

Fiddler provides explainability and monitoring for ML models. Feature importance. SHAP integration. Fairness testing. Data drift detection. Series-B company.

Platform for deploying full-stack apps and databases close to users worldwide using lightweight VMs with fast startup times.

GerberViewer lets you inspect Gerber files before sending to the fabricator. You check layers, trace width, and clearances. Problems are found before manufacturing. Expensive rework is prevented. File…

Google Cloud API Gateway creates fully managed APIs. Route requests to Cloud Functions, Cloud Run, or GCP services. OpenAPI specification defines behavior. IAM authentication with service accounts. Us…

An open-source Python library from Hugging Face for building and sharing interactive ML model demos and applications in minutes. Gradio wraps any Python function, typically an AI model inference funct…

Gradio creates simple interfaces for ML models. Share models via public link. Input/output components. LaunchPad for easy deployment. Hugging Face integration.

Apollo Client, Relay, and Hasura provide GraphQL tooling. Schema stitching and federation. Caching strategies for performance. Widely adopted for modern APIs. Mature ecosystem.

H2O provides MLOps for at-scale model development. AutoML. Model governance and monitoring. Deployment framework. Enterprise support. Founded by Kaggle team.

Hex is a notebook environment for data analytics teams that bridges Jupyter and Dashboards. Write SQL, Python, and R in reactive cells. Parameters auto-build filters without code. Share notebooks as i…

Hugging Face Hub hosts 300,000+ models. Model cards with metadata. Community discussions. Inference API. Standard for NLP model sharing. Non-profit organization.

Hyperopt is a Python library for hyperparameter optimization using Bayesian methods. Parzen estimators and simulated annealing search strategies minimize expensive objective functions. MongoDB backend…

Kubeflow runs ML workflows on Kubernetes. Pipelines for training and inference. TensorFlow, PyTorch, XGBoost support. Model serving with KServe. CNCF project. Enterprise-ready.

A developer platform from LangChain for building, debugging, testing, and monitoring LLM applications in production. LangSmith provides full observability into every LLM call inside an application: in…

LibraryManager organizes your symbol and footprint libraries. You create custom libraries and share them. Version control prevents confusion. Consistency across designs improves. Teams work more effic…

Lightstep uses change data (deployments, config updates) and traces to pinpoint performance regressions immediately. Correlates trace patterns with releases. Suggests rollback if latency spikes follow…

An open-source Python library and proxy server providing a unified API interface for calling over 100 different LLM providers through a single OpenAI-compatible format. Developers write code against t…

Docker-first self-hosted AI stack that provides OpenAI-compatible API endpoints for running LLMs, image generation, and audio models on your own infrastructure. Supports multiple backends and models s…

A cloud infrastructure platform for running Python code on serverless GPUs and CPUs, designed specifically for machine learning inference, model training, and AI data processing workloads. Developers …

Neptune is a metadata store for ML experiments. Track metrics, params, code, environment. Real-time collaboration. Charts and alerts. Series-A startup. Used by 1000+ teams.

Web platform for deploying and hosting frontend applications with CI/CD, edge functions, forms, and AI-powered performance insights.

OidcProvider implements the OpenID Connect standard to allow applications to delegate authentication to your identity platform. The system supports dynamic client registration for rapid onboarding of …

Red Hat OpenShift is an enterprise Kubernetes distribution with integrated CI/CD, service mesh, and developer tools. Operators automate complex apps. OperatorHub marketplace simplifies installation. R…

Optuna is an open optimization framework. Bayesian optimization for hyperparameter tuning. Pruning underperforming trials. Parallel execution. Python-friendly.

PCBLayout Pro helps you route traces on circuit boards efficiently. You import schematics and place components. Routing tools manage trace placement and optimize for manufacturability. Design rules ar…

Prefect is a workflow orchestration platform that replaces Airflow with a Pythonic, modular approach. Flows are Python functions with auto-retry, parameterization, and built-in parallelism. Deployment…

ProjectArchive stores your design files and keeps them organized. You version control schematics and PCB layouts. Collaboration between team members is enabled. History tracking prevents lost work. De…

Rancher simplifies multi-cluster Kubernetes operations at scale. Central console manages 100+ clusters across cloud, on-premise, edge. Gitops-driven provisioning. RBAC across tenants. Built-in monitor…

Ray Tune is a hyperparameter tuning library. Distributed optimization across clusters. Population based training. Algorithms: Bayesian, evolutionary. Integration with PyTorch and TensorFlow.

ReliabilityCalculator estimates component failure rates and board MTBF. You input components and operating conditions. Failure rates are calculated using industry models. Risk areas are identified. Re…

Rollbar tracks exceptions and errors in production, grouping by pattern. Integrates with CI/CD to show which release introduced a bug. Notifies engineers and creates tickets. Version history shows whe…

SafetyAuditor checks your designs for safety compliance. Isolation distances, voltage tracking, and current limiting are verified. Regulatory requirements are checked. Safety certifications are eased …

Amazon SageMaker provides end-to-end ML workflows. Notebooks, training, hyperparameter tuning, inference. AutoML capabilities. Experiments and model registry. Market-leading platform.

Seldon Core deploys and manages ML models in production. Multi-model serving. A/B testing and canary deployments. Kubernetes-native. Open-source with commercial support.

Sentry captures unhandled exceptions in 25+ frameworks (Django, Flask, React, Vue, Go, Python). Release tracking auto-associates errors with commits. Performance monitoring detects slowdowns. Custom m…

SignalIntegrityChecker verifies signal quality on high-speed boards. You check for crosstalk, reflections, and impedance matching. Problem areas are highlighted. Solutions are suggested. First-time su…

Starburst Enterprise is a commercial distribution of Trino, the open query engine for polyglot data lakes. Query Parquet in S3, Iceberg tables, Postgres, Snowflake, Cassandra from one SQL prompt. C3 o…

Streamlit rapidly builds ML web apps in Python. Interactive widgets with no frontend coding. Real-time reruns on code changes. Deployment to Streamlit Cloud. Developer-friendly.

Tecton is an enterprise feature store. Real-time and batch features. Complex transformations. Feature lineage tracking. Series-B, founded by Uber and Google engineers.

TestPointPlanner helps you place test points for manufacturing and debugging. You select signals that need test access. Optimal placement is suggested. Your boards are easier to test and debug. Field …

Calico is an open-source networking and network policy engine. Works with any Kubernetes cluster. Fine-grained policies by pod selector, namespace, IP CIDR. Egress filtering and encryption. Tigera com…

Tyk is an open-source API gateway written in Go. Lightweight and fast. Built-in analytics track API usage. OAuth, JWT, mutual TLS. Tyk Cloud for managed hosting. Developer portal for API consumers. Us…

Google Vertex AI offers unified ML operations. AutoML for custom models. Pre-trained model APIs. Model monitoring and retraining. GCP-native integration.

Weights & Biases Reports create reproducible documentation. Combine plots, tables, text. Share findings with stakeholders. Integration with experiments. Collaboration feature.

WCAGCheck Pro is a comprehensive WCAG compliance checker that tests websites against all WCAG 2.1 success criteria. Run automated scans and get detailed reports showing which criteria are met, which f…

Weights & Biases tracks ML experiments and model performance. Real-time metrics and loss curves. Model artifacts versioning. Reports for documentation. Series-B company, YC backed.

WhyLabs monitors data quality and model performance. Real-time anomaly detection. Profile comparisons. Root cause analysis. Series-B company. Growing adoption.