Docmosis
Docmosis is a self-hosted or SaaS template-based document generation solution. Integrate with custom-built software applications or popular third-party apps using the API.
Create templates using MS Word or LibreOffice. Add plain-text placeholders to control: the insertion of text/images/tables; conditionally add/remove any content; perform calculations; loop over repeating data; format data/numbers and much more.
Integrate with: Custom software built using Java, C#, Python, PHP, Ruby and more via a REST API; Low-code and no-code platforms like Appian, Bubble, Mendix, Outsystems; Third-party form builders or apps that can perform a webhook such as FormAssembly or Salesforce.
Used by customers in Finance, Health, Legal, Education, Government, HR, Insurance, Logistics, and Manufacturing to generate customized letters invoices, proposals, contracts, statements, reports and more.
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PBRS Power BI Reports Distribution
PBRS is a third-party tool that enhances the functionality of Power BI reports by providing advanced features for scheduling, automation, and distribution. With PBRS, you can:
- Schedule Power BI reports to run at specific dates and times, or set up recurring schedules based on custom frequencies. For example, you can schedule a report to run every hour, every other day, or on the third Monday of the month.
- Automate Power BI reports to run based on specific events or conditions. For example, you can trigger a report to run when a database record is changed, when data is received on a port, when an unread email exists in a folder, or if a file exists.
- Distribute Power BI reports in various formats and to multiple destinations. You can specify different filters, formats (such as Excel, PDF, or CSV), destinations (such as email, SharePoint, or network folders), and recipients for each scheduled report. This flexibility enables you to tailor the distribution of reports to meet the specific needs of your organization.
PBRS works seamlessly with various Power BI environments, including Power BI Service (Pro and PPU), Power BI Report Server (On-Premises), Power BI Premium, and all editions of SQL Server Reporting Services
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jsreport
HTML and JavaScript can generate a multitude of output formats. With templating engines that facilitate dynamic layouts, along with custom JavaScript hooks for data retrieval, the system fully embraces the latest advancements in CSS and JavaScript. jsreport offers a web-based design interface; all you need is a modern browser to start crafting your reports. The platform also features options for scheduling, versioning of templates, importing and exporting data, creating backups, managing sub-reports, and overseeing user accounts. It boasts comprehensive support for JavaScript alongside virtually every charting library, ensuring there are no restrictions. Moreover, with full compatibility for the newest CSS standards, even novice developers can create report designs with ease. You can prepare an XLSX template using desktop Excel, and then simply utilize HTML and CSS to populate it seamlessly. This flexibility empowers users to create tailored reports effortlessly.
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openpyxl
Openpyxl is a Python library designed for reading and writing Excel 2010 files in formats such as xlsx, xlsm, xltx, and xltm. The library was developed due to the absence of a native solution for handling Office Open XML files in Python, and it owes its origins to the PHPExcel project. It is important to note that openpyxl does not provide protection against certain vulnerabilities like quadratic blowup or billion laughs XML attacks by default, but these risks can be mitigated by installing the defusedxml library. To install openpyxl, you can use pip, and it's recommended to perform this installation within a Python virtual environment to avoid conflicts with system packages. In some instances, you may want to work with a specific version of the library, especially if there are fixes that have not yet been released officially. Fortunately, you do not need to create an actual file on your filesystem to begin using openpyxl; simply import the Workbook class and begin your tasks. When you create sheets, they are automatically assigned names, and once you rename a worksheet, you can access it using the corresponding key from the workbook. This ease of use makes openpyxl a popular choice for many Python developers working with Excel files.
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