[EMNLP 2025 Demo] PDF scientific paper translation with preserved formats - 基于 AI 完整保留排版的 PDF 文档全文双语翻译，支持 Google/DeepL/Ollama/OpenAI 等服务，提供 CLI/GUI/MCP/Docker/Zotero
- chinese
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Repository Index
47,133 repositories indexed
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Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
An orchestration platform for the development, production, and observation of data assets.
- data-pipelines
- dagster
- workflow
- data-science
BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation, SFT, Dataset Management, Enterprise-level System Management, Observability and more.
Open-source cron job and background task monitoring service, written in Python & Django
- cron
- devops
- cron-jobs
- monitoring
Asynchronous Python framework for event-driven services. A thin client for Kafka, RabbitMQ, NATS, Redis and MQTT with full access to native broker features, plus AsyncAPI docs, in-memory tests and observability out of the box.
Trace-native CI/CD for AI agents: grade production traces, cluster failures, freeze them into replayable regression tests, and block PRs that regress. Self-hostable.
Zentral is a control plane for secure, observable Apple endpoints in enterprises. Configure, observe, and enforce the desired state of every Apple endpoint. Manage that desired state as code through GitOps and Terraform.
- macos
- inventory
- elasticsearch
- endpoint-management
Realistic synthetic events for testing, demos, and pipelines — streamed live or generated in bulk
- clickhouse
- data-engineering
- data-generation
- devops
Nova DSO Tracker is an open-source Flask application for astrophotographers, providing real-time tracking of deep-sky objects' altitude, observability prediction, and integration with Stellarium and SIMBAD databases.
Lightweight Docker monitoring dashboard with anomaly detection & Telegram alerts. One-liner install, zero config.
A repository for deploying an AWS EMR cluster and submiting spark jobs on it. Boostrapping by default does inclues pysparkling so one can easily use h2o with python and spark.