Search Results for "framework python"
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Showing 9 open source projects for "framework python"
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Run applications fast and securely in a fully managed environmentRun frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
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#1 Solar Design and CRM Software for fast-growing solar businesses.Create accurate proposals from anywhere in under 2 minutes using hi-res imagery, energy analysis and 3D shading tools in Pylon's intuitive design studio. Pylon is the only solar design software to give you high-resolution imagery in-app with no monthly fees. Identify dates of concern and track shading impact throughout the year using Pylon's award-winning 3D Solar Shading toolkit. Help your team better understand customer consumption patterns and maximize self-consumption using Pylon's load profile and interval data analysis. Analyze load profiles & interval data. Close more solar proposals with interactive Web & PDF proposals, native eSignatures and a payment processing gateway. Fully integrated solar CRM designed to integrate with your solar design software and convert proposals. Get 2-way SMS and email, communications with your team, lead management, and ready-made deal pipelines with Pylon Solar CRM.
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ConcurrentSim.jl
Discrete event process oriented simulation framework written in Julia
A discrete event process-oriented simulation framework written in Julia inspired by the Python library SimPy. One of the longest-lived Julia packages (originally under the name SimJulia). -
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Dash
Build beautiful web-based analytic apps, no JavaScript required
Dash is a Python framework for building beautiful analytical web applications without any JavaScript. Built on top of Plotly.js, React and Flask, Dash easily achieves what an entire team of designers and engineers normally would. It ties modern UI controls and displays such as dropdown menus, sliders and graphs directly to your analytical Python code, and creates exceptional, interactive analytics apps. -
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SageMaker Spark Container
Docker image used to run data processing workloads
Apache Spark™ is a unified analytics engine for large-scale data processing. It provides high-level APIs in Scala, Java, Python, and R, and an optimized engine that supports general computation graphs for data analysis. It also supports a rich set of higher-level tools including Spark SQL for SQL and DataFrames, MLlib for machine learning, GraphX for graph processing, and Structured Streaming for stream processing. The SageMaker Spark Container is a Docker image used to run batch data processing workloads on Amazon SageMaker using the Apache Spark framework. ... -
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StreamAlert
StreamAlert is a serverless, realtime data analysis framework
...Rules are written in Python; they can utilize any Python libraries or functions. Merge similar alerts and automatically promote new rules if they are not too noisy. Ingested logs and generated alerts can be retroactively searched for compliance and research. Serverless design is cheaper, easier to maintain, and scales to terabytes per day. Deployment is automated, simple, safe and repeatable for any AWS account. -
End-To-End Document Management SoftwareUnForm® is a platform-independent software product that creates, delivers, stores and retrieves graphically enhanced documents from ERP application printing. A complete, end-to-end document management solution, UnForm interfaces at the point of printing to produce documents in various formats for printing and electronic delivery.
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Wally
Distributed Stream Processing
Wally is a fast-stream-processing framework. Wally makes it easy to react to data in real-time. By eliminating infrastructure complexity, going from prototype to production has never been simpler. When we set out to build Wally, we had several high-level goals in mind. Create a dependable and resilient distributed computing framework. Take care of the complexities of distributed computing "plumbing," allowing developers to focus on their business logic. Provide high-performance & low-latency... -
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fooltrader
Quant framework for stock
Build a standard data schema, and then implement various connectors to import systems you are familiar with for analysis. fooltrader is a quantitative analysis trading system designed using big data technology, including data capture, cleaning, structuring, calculation, display, backtesting and trading. Its goal is to provide a unified framework for the whole market (stock, futures, bonds, foreign exchange, digital currency, macroeconomics, etc.) for research, backtesting, forecasting, and... -
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Pypes is a framework which allows users to break complex data processing logic down into a series of smaller less complex tasks. These tasks, referred to as components, can then be connected so that the output of one becomes the input to another.
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Django-dataplot enables developers using the Django web framework to seamlessly integrate data-driven graphical plots into their web pages.
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CoSimA+
The Co-Simulation Adaptation Platform
The co-simulation adapation platform serves as programming framework and middleware to enable coupling of distributed, heterogeneous numerical models. The framework facilitates the adaptation and integration of new sub-models into a common simulation platform. -
A warehouse and inventory management software that scales with your business.Logiwa is a leader in cloud-native fulfillment technology, revolutionizing high-volume fulfillment for third-party logistics (3PLs), B2B and B2C fulfillment networks, and direct-to-consumer brands. Our flagship product, Logiwa IO, is an advanced Fulfillment Management System (FMS) designed to scale operations in the digital era. Logiwa elevates digital warehousing to new heights, ensuring dynamic and efficient fulfillment processes. Our commitment to AI-driven technology, combined with a focus on customer-centricity, equips businesses to adeptly navigate and excel in rapidly changing market landscapes. Discover the future of smart fulfillment and how you can fulfill brilliantly with Logiwa IO.
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