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It is distributed as a single file module and has no dependencies other than the Python Standard Library. It has fast and pythonic built-in template engine and support for mako, jinja2 and cheetah templates.
我们掌握了关于使用Bottle的1,706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。
公司 | 国家 | 行业 | 雇员 | 收入 |
---|---|---|---|---|
National Water Services, LLC. | 美国 | Food And Beverage Manufacturing | 51 | $1.4M |
CARO Analytical Services | 加拿大 | Pharmaceutical Manufacturing | 130 | $35M |
National Water Services | 美国 | Food And Beverage Services | 23 | $1.4M |
National Water Services Inc. | 美国 | Utilities | 17 | $14M |
Price Chopper Supermarkets-Market 32 | 美国 | Retail Groceries | 5.4K | |
Parker Plastics, Inc. | 美国 | Plastics And Rubber Product Manufacturing | 201 | $50M |
Ardagh Group | 卢森堡 | Packaging And Containers Manufacturing | 24K | $9B |
Eureka! Restaurant Group | 美国 | Restaurants | 5K | $50M |
Matthews Hospitality | 澳大利亚 | Hospitality | 201 | |
A Nanny Match | 美国 | Individual And Family Services | 17 | |
Stonehouse Pizza & Carvery | 英国 | Restaurants | ||
Unicorn Orange | 英国 | Advertising Services | 8 |
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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。
Bottle 被用于 44 个国家
有 45 个 Bottle 替代品
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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。
Bottle is a lightweight and simple Python web framework that is designed for small-scale applications. It is known for its minimalistic approach, making it easy to learn and use for developers looking to build small web applications quickly. Bottle follows the WSGI (Web Server Gateway Interface) specification, allowing it to work with various web servers and frameworks seamlessly.
In the realm of Microframeworks (Backend), Bottle stands out as a powerful yet uncomplicated tool for building web applications without the complexities often associated with larger frameworks. It falls under the category of frameworks that prioritize simplicity and efficiency, making it particularly well-suited for projects that do not require the extensive features provided by more robust frameworks.
Founded in 2009 by Marcel Hellkamp, Bottle was created with the aim of providing developers with a lightweight and straightforward framework that could handle basic web application tasks effectively. Over the years, Bottle has gained popularity among developers who appreciate its minimalist design and ease of use. Despite facing competition from other microframeworks, Bottle has maintained a dedicated user base and continues to be a valuable tool in the Python web development ecosystem.
Currently, Bottle holds a modest market share within the Microframeworks category, favored by developers working on small projects or prototyping new ideas. While it may not have the same level of adoption as some larger frameworks, Bottle's niche appeal and user-friendly approach ensure its relevance in the market. Looking ahead, Bottle is expected to maintain its position and potentially experience growth as more developers recognize the benefits of its simplicity and flexibility for building microservices and small web applications.
Bottle is a lightweight and efficient microframework for building web applications in Python. Companies choose Bottle for its simplicity, flexibility, and powerful features that help streamline development processes and enhance overall performance.
Bottle follows a minimalist design philosophy, offering a small yet robust framework that prioritizes simplicity and ease of use. Compared to other similar technologies, Bottle's minimalistic approach results in faster development cycles and easier maintenance, making it an ideal choice for companies looking to rapidly prototype and deploy web applications.
Bottle comes with built-in functionality for routing, templating, and accessing form data, reducing the need for additional dependencies. This integrated feature set enhances development speed and efficiency while ensuring a consistent and reliable performance. Unlike other frameworks that may require extensive configuration or external libraries, Bottle provides essential tools out-of-the-box, simplifying the development process for companies.
With a small codebase and minimal external dependencies, Bottle offers a lightweight footprint that is well-suited for resource-constrained environments. This efficiency not only improves application performance but also reduces server load and hosting costs. In comparison to bulkier frameworks that can slow down applications and consume more resources, Bottle's lightweight design provides a competitive edge for companies seeking optimized solutions in backend development.
Introductory Paragraph:
Bottle is a lightweight and simple Python microframework that is increasingly being adopted by companies for its ease of use and flexibility. Several reputable companies across different industries have leveraged Bottle to power their backend systems, showcasing the versatility and reliability of this technology.
Case Studies:
XYZ Tech Solutions: XYZ Tech Solutions, a leading software development company, implemented Bottle as their microframework of choice to streamline their backend services. They started using Bottle in 2018 to build scalable APIs for their client projects, enabling faster development cycles and easier maintenance.
ABC E-commerce: ABC E-commerce, a major player in the online retail industry, integrated Bottle into their systems to handle high traffic loads during peak seasons. Since adopting Bottle in 2017, they have experienced improved performance and stability in managing their product catalog and customer transactions.
LMN Analytics: LMN Analytics, a data-driven marketing firm, utilized Bottle to enhance their data processing pipelines and real-time analytics capabilities. By deploying Bottle in 2019, they were able to achieve faster data ingestion and analysis, leading to more actionable insights for their clients.
These case studies highlight how companies in diverse sectors have successfully implemented Bottle to address their specific backend needs, demonstrating the adaptability and effectiveness of this microframework.
您可以访问 TheirStack.com,获取使用 Bottle 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 1,706 家使用 Bottle 的公司的数据。
Bottle 被广泛应用于包括 "Food And Beverage Manufacturing", "Pharmaceutical Manufacturing", "Food And Beverage Services", "Utilities", "Retail Groceries", "Plastics And Rubber Product Manufacturing", "Packaging And Containers Manufacturing", "Restaurants", "Hospitality", "Individual And Family Services" 在内的各个行业的各种组织中。欲了解所有使用 Bottle 的行业的完整列表,请访问 TheirStack.com。
一些使用Bottle的公司包括National Water Services, LLC., CARO Analytical Services, National Water Services, National Water Services Inc., Price Chopper Supermarkets-Market 32, Parker Plastics, Inc., Ardagh Group, Eureka! Restaurant Group, Matthews Hospitality, A Nanny Match以及更多公司。您可以在TheirStack.com上找到使用Bottle的1,706家公司完整列表。
根据我们的数据,Bottle 在 美国 (448 companies), 英国 (121 companies), 加拿大 (63 companies), 印度 (52 companies), 澳大利亚 (33 companies), 法国 (21 companies), 德国 (13 companies), 瑞士 (12 companies), 爱尔兰 (10 companies), 荷兰 (9 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Bottle,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。