Search Results for "hts-engine"
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Showing 11 open source projects for "hts-engine"
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Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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IronCalc
Main engine of the IronCalc ecosystem
IronCalc is a new, modern, work-in-progress spreadsheet engine and set of tools to work with spreadsheets in diverse settings. IronCalc is a lightweight, open-source computational engine designed for performing mathematical operations, formula calculations, and data-driven tasks. -
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Arroyo
Distributed stream processing engine in Rust
Arroyo is a distributed stream processing engine written in Rust, designed to efficiently perform stateful computations on streams of data. Unlike traditional batch processing, streaming engines can operate on both bounded and unbounded sources, emitting results as soon as they are available. -
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Meteroid
Open-source pricing and billing infrastructure
Meteroid is an open-source, cloud-native pricing and billing infrastructure designed to support usage-based billing, subscription management, invoicing, and cost-tracking — particularly for SaaS or product-led businesses that need flexible billing models beyond flat subscriptions. It provides an API-driven billing engine: you feed Meteroid usage data from your application (e.g. API calls, storage usage, seats, feature usage), define custom pricing rules or plans, and Meteroid calculates charges, generates invoices, tracks usage, and supports cost limits or quotas. The system is written in Rust, emphasizing performance, reliability, and safety, making it suitable for production use in small startups up to large enterprises. ... -
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Loro
Make your JSON data collaborative and version-controlled with CRDTs
loro is a high-performance CRDT (Conflict-free Replicated Data Type) engine designed for building collaborative applications that sync in real time across multiple peers or devices. Written in Rust, loro is designed to be compact, fast, and embeddable in a wide range of environments, from desktop to mobile to web via WebAssembly. Its architecture supports multiple data types like text, maps, and lists, and it offers automatic conflict resolution with minimal data overhead. -
Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
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Cube
Universal semantic layer platform for AI, BI, spreadsheets
...Cube was designed to work with all SQL-enabled data sources, including cloud data warehouses like Snowflake or Google BigQuery, query engines like Presto or Amazon Athena, and application databases like Postgres. Cube has a built-in relational caching engine to provide sub-second latency and high concurrency for API requests. -
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CocoIndex
ETL framework to index data for AI, such as RAG
CocoIndex is an open-source framework designed for building powerful, local-first semantic search systems. It lets users index and retrieve content based on meaning rather than keywords, making it ideal for modern AI-based search applications. CocoIndex leverages vector embeddings and integrates with various models and frameworks, including OpenAI and Hugging Face, to provide high-quality semantic understanding. It’s built for transparency, ease of use, and local control over your search... -
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Arkflow
High performance Rust stream processing engine
Arkflow is a Rust-based framework for building reactive, event-driven data pipelines. Inspired by tools like Airflow and Dagster, it focuses on strong typing, modularity, and performance. Arkflow is ideal for developers who want a fast, extensible way to orchestrate workflows and data transformations in Rust. -
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Barter
Open-source Rust framework for building event-driven systems
Barter is an open-source, Rust-based ecosystem of libraries for building high-performance, event-driven algorithmic trading systems—covering live trading, paper trading, and backtesting. It is designed for safety, speed, and flexibility in quantitative finance workflows. Use mock MarketStream or Execution components to enable back-testing on a near-identical trading system as live-trading. Centralised cache-friendly state management system with O(1) constant lookups using indexed data... -
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Mova PDF voice reader
PDF Reader with Text-to-Speech (TTS) Mowa
...The application supports multiple languages and adjustable speech rates, allowing users to customize the reading experience. PDF processing is handled with the PyMuPDF library, while speech synthesis is performed using the eSpeak NG engine. The application is intended for educational purposes, docum. -
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
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The Burnout Meter
Visualize the physical weight of coding. You lift 1.7 Grand Pianos dai
...The result? A standard dev lifts over 500kg (1.7 Grand Pianos) every single day. The Burnout Meter visualizes this invisible workload in real-time. 🏋️ Physics Engine: Calculates weight based on your switch's actuation force (e.g. 80g). ❤️ HP Bar: Treats your energy like a game health bar that drains as you work. 📏 Real-world Metrics: Scroll the height of the Statue of Liberty, type the weight of a Tesla Cybertruck. 100% Free & Local-only. Designed to validate your exhaustion. -
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TensorBase
TensorBase is a new big data warehousing with modern efforts
TensorBase hopes the open source not become a copy game. TensorBase has a clear-cut opposition to fork communities, repeat wheels, or hack traffic for so-called reputations (like Github stars). After thoughts, we decided to temporarily leave the general data warehousing field. For people who want to learn how a database system can be built up, or how to apply modern Rust to the high-performance field, or embed a lightweight data analysis system into your own big one. You can still try, ask...
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