Data Management and Analytics

Prometheus is an open source monitoring system with a dimensional data model.

HOSSTED provides PyTorchFlow in Jupyter. PyTorch is a Python package that provides two high-level features: tensor computation (like NumPy) with strong GPU acceleration, deep neural networks built on a tape-based autograd system.

Redash offers a simplified means of visualizing and collaborating on the massive amounts of data generated by tech systems.

Redis is an open-source, in-memory data store used for caching, messaging, and other data structures. It offers high performance and flexibility for various use cases.

Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.

SQLite is a lightweight, embedded relational database management system (RDBMS) known for its portability, simplicity, and self-contained nature. It's widely used for mobile applications, embedded systems, and other resource-constrained environments.

Supabase is an open-source data platform designed to streamline data management, analysis, and visualization. With powerful tools for storing, querying, and collaborating on large datasets, Supabase helps teams unlock insights and make data-driven decisions faster and more efficiently.

Apache Superset is a modern data exploration and visualization platform.

Telegraf is an open-source agent for collecting and sending metrics, logs, and traces from various sources to monitoring systems like InfluxDB or Elasticsearch. It offers flexibility and customization for diverse data collection needs.

HOSSTED provides TensorFlow in Jupyter. It is an end-to-end open source library for machine learning and artificial intelligence.