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It is an open-source Python framework for creating reproducible, maintainable and modular data science code. It borrows concepts from software engineering best-practice and applies them to machine-learning code; applied concepts include modularity, separation of concerns and versioning.
技术使用统计数据和市场份额
您可以通过筛选地理位置、行业、公司规模、收入、技术使用情况、职位等来根据您的需求定制这些数据。您可以以Excel或CSV格式下载数据。
您可以获得有关此数据的提醒。您可以通过选择您感兴趣的技术来开始,然后当有新公司使用该技术时,您将会在您的收件箱中收到提醒。
您可以将这些数据导出到一个Excel文件,然后导入到您的CRM中。您也可以将这些数据导出到API。
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Kedro 被用于 23 个国家
Technology
is any of
Kedro
公司 | 国家 | 行业 | 雇员 | 收入 | 技术 |
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德国 | Software Development | 11 |
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Aviation And Aerospace Component Manufacturing | 30K | $883M | Kedro | ||
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德国 | It Services And It Consulting | 47 |
| Kedro | |
It Services And It Consulting |
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德国 | Professional Services | 15 |
| Kedro | |
法国 | Professional Services | 45K | $30B | Kedro | |
美国 | It Services And It Consulting | 49 | $45M | Kedro | |
英国 | Staffing And Recruiting | 190 | $6.5M | Kedro | |
| Kedro |
我们掌握了关于使用Kedro的244家公司数据。这个精心策划的名单可以下载,并附带了重要的公司具体信息,包括行业分类、组织规模、地理位置、融资轮次和收入数据等。
常见问题
我们的数据来自于从数百万家公司收集的招聘信息。我们在公司网站、招聘平台和其他招聘平台上监控这些招聘信息。分析招聘信息提供了一种可靠的方法来了解公司正在使用的技术,包括他们使用的内部工具。
我们每天更新数据,以确保您访问的是最新的可用信息。这一频繁的更新过程保证了我们的洞察力和情报反映了行业内的最新发展和趋势。
Kedro is an open-source Python framework designed to facilitate the development of robust data pipelines. It offers a high level of flexibility and scalability, making it ideal for managing complex workflows in data science and machine learning projects. By providing a standardized approach to structuring code and data, Kedro enables teams to collaborate effectively and maintain a clear understanding of the pipeline's architecture.
In the realm of Frameworks (Full Stack), Kedro falls under the category of data pipeline frameworks. It focuses on streamlining the process of building, deploying, and managing data pipelines that are crucial for extracting insights from large datasets. Kedro's emphasis on modularity and reproducibility sets it apart, allowing users to easily experiment with different data processing techniques and iterate on their pipelines with confidence.
Kedro was founded in 2019 by QuantumBlack, a data science consultancy that aimed to address the challenges faced by data professionals in structuring and managing their projects effectively. Drawing on their extensive experience in the field, QuantumBlack developed Kedro to provide a comprehensive solution for building scalable and maintainable data pipelines. Since its inception, Kedro has gained traction among data engineering and data science teams looking to streamline their workflow and enhance collaboration.
In terms of current market share, Kedro has been steadily gaining popularity within the data engineering and data science communities. Its user-friendly interface, extensive documentation, and active community support have contributed to its growing adoption rate. As organizations continue to recognize the importance of efficient data pipeline management, Kedro is poised to experience further growth in the foreseeable future, cementing its position as a leading framework in the data science ecosystem.
您可以访问 TheirStack.com,获取使用 Kedro 的公司更新名单。我们的平台提供了一个全面的数据库,涵盖了使用各种技术和内部工具的公司。
截至目前,我们拥有关于 244 家使用 Kedro 的公司的数据。
Kedro 被广泛应用于包括 "Software Development", "Aviation And Aerospace Component Manufacturing", "It Services And It Consulting", "It Services And It Consulting", "Professional Services", "Professional Services", "It Services And It Consulting", "Staffing And Recruiting" 在内的各个行业的各种组织中。欲了解所有使用 Kedro 的行业的完整列表,请访问 TheirStack.com。
一些使用Kedro的公司包括PlanerAI GmbH, Bombardier, Centre de recherche informatique de Montréal (CRIM), AIPERIA, 4CAST, niologic, Société Générale, Experfy Inc, Xcede, DATABUZZ LTD以及更多公司。您可以在TheirStack.com上找到使用Kedro的244家公司完整列表。
根据我们的数据,Kedro 在 美国 (45 companies), 英国 (21 companies), 波兰 (17 companies), 法国 (16 companies), 巴西 (10 companies), 德国 (8 companies), 加拿大 (5 companies), 丹麦 (5 companies), 荷兰 (4 companies), 瑞士 (4 companies) 最受欢迎。然而,它被全世界的公司所使用。
您可以在TheirStack.com上搜索Kedro,来找到使用该技术的公司。我们跟踪数百万家公司的招聘信息,并借此发现他们正在使用的技术和内部工具。