Lineapy
Online Media, 3000 K St Nw Ste 350, , District of Columbia, Washington, 20007, United States, 1-10 Employees
Phone Number: +13*********
Who is LINEAPY
LineaPy is an open-source library that captures, extracts and translates development code in minutes, simplifying getting from data science prototype to pipeline. With LineaPy: ⚡️ Crea...
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Headquarters: 3000 K St Nw Ste 350, Washington, District of Columbia, 20007, United States
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Employees: 1-10
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Revenue: $250 Million to $500 Million
Industry: Online Media
SIC Code: 7372
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NAICS Code: 511210 |
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Frequently Asked Questions Regarding Lineapy
Answer: Lineapy's headquarters are located at 3000 K St Nw Ste 350, , District of Columbia, Washington, 20007, United States
Answer: Lineapy's phone number is +13*********
Answer: Lineapy's official website is https://lineapy.org
Answer: Lineapy's revenue is $250 Million to $500 Million
Answer: Lineapy's SIC: 7372
Answer: Lineapy's NAICS: 511210
Answer: Lineapy has 1-10 employees
Answer: Lineapy is in Online Media
Answer: Lineapy contact info: Phone number: +13********* Website: https://lineapy.org
Answer: LineaPy is an open-source library that captures, extracts and translates development code in minutes, simplifying getting from data science prototype to pipeline. With LineaPy: ⚡️ Create Data Pipelines Fast Translate messy notebook code into data pipelines. Automatically clean up and refactor data science code so it can be run in an orchestration system. Eliminate bugs or irrelevant code, and accelerate time to value. Execute locally on your server or deploy to a shared compute environment. ⚡️ Create Reusable Components Create vetted, reusable components that other data practitioners can discover and incorporate into their workflows like building blocks. Start serving the team instead of acting as ad hoc support. ⚡️ Track Lineage Trace back the code that generates your results. Prioritize high demand pipelines, see dependencies, and deprecate unused pipelines while alerting downstream consumers. Get to the root of missing values, odd numbers, or unintelligible variable names. Use automatically captured lineage for more robust data engineering support. LineaPy interoperates with any Python library out of the box so you don’t have to change anything about your workflow. It also automatically generates pipelines in popular frameworks so you don’t have to rewrite the workflow.
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