7763 tools found
A cloud security platform that maps how your code, cloud infrastructure, and running applications connect to each other into one picture, so security teams can see the actual attack path a hacker would take instead of chasing disconnected alerts.
Open-source tooling for creating fully isolated virtual Kubernetes clusters inside a single real cluster — each tenant gets what feels like their own Kubernetes, without the cost and overhead of actually running separate clusters.
An AI agent named Aiden that handles the parts of the DevOps job that usually eat up an SRE's night — incident response, generating infrastructure-as-code, observability, and CI/CD tuning — across multi-cloud setups.
A Kubernetes tool that lets developers declare which service needs to talk to which — in plain terms, like "this service needs to read that database" — and generates the actual security policies (network rules, IAM, Kafka ACLs) automatically instead of so
A monitoring tool for AI chatbots and agents in production — it logs every conversation and decision your AI makes so you can debug why it said something wrong, instead of guessing after a customer complains.
An open-source toolkit that lets a platform team build a self-service capability once — say, "spin up a database" — and hand it out to developers, automation scripts, and now AI agents through a consistent API, CLI, or portal.
A platform orchestration layer that lets developers request cloud resources themselves without waiting on a ticket queue, while ops keeps the guardrails — security, cost, and compliance rules — enforced automatically underneath.
A management layer for infrastructure-as-code tools like Terraform, OpenTofu, Pulumi, and CloudFormation — it runs your existing IaC through a governed pipeline with approvals, drift detection, and compliance policies instead of engineers running `terrafo
A security platform that protects laptops, servers, and cloud accounts from hackers and malware from one dashboard — instead of running separate antivirus, cloud security, and identity protection tools that don't talk to each other.
A cloud cost management platform that gives finance, DevOps, and leadership a shared, accurate picture of where cloud money is actually going — down to 100% of costs allocated to teams or features — instead of finance and engineering arguing over spreadsh
A data quality platform built around 'data contracts' — explicit, collaborative agreements about what a dataset should look like — with AI that detects, explains, and can automatically fix anomalies when they break.
An established embedded analytics platform that lets software companies build dashboards and AI-generated insights directly into their own applications, with a 7-day free trial and full enterprise support for regulated industries.
An embedded analytics platform built for SaaS companies that want to give their customers dashboards and self-service reporting inside the product, priced as a flat annual fee instead of per-seat or per-query.
A business intelligence platform that lets you explore data through chat, dashboards, raw SQL, or a spreadsheet-like interface — all pointed at the same governed set of metrics — and can be embedded directly into your own product.
The most widely used open-source tool for writing data quality checks in Python — you define what your data should look like as code, and it validates every pipeline run against those expectations automatically.
A toolkit for adding real analytics dashboards inside your own product — as a native web component, not a clunky iframe — so your customers get charts and self-service reports without you building a BI engine from scratch.
A data quality and observability tool that runs its checks directly inside your database instead of copying data out to a separate system, with pricing based on the number of tables you actually monitor rather than a flat platform fee.
An all-in-one data platform that replaces a Fivetran + Snowflake + dbt + Looker stack with a single tool for ingesting, storing, and querying business data, plus an AI analyst that answers questions in plain English.
A collaborative data exploration canvas where a data team, a product manager, and a business stakeholder can all work on the same analysis together, in SQL, Python, or plain-English chat with AI models built in.
A data catalog and governance platform that builds a formal, certified map of what your business data actually means, then feeds that context to AI models so they answer questions correctly instead of guessing or hallucinating.
