As the only API powered by the Prince HTML-to-PDF engine, DocRaptor provides the best support for complex PDFs with powerful support for headers, page breaks, page numbers, flexbox, watermarks, accessible PDFs, and much more
featured
iPython
Jupyter
PyCharm
Spyder
IDLE
PyScripter
Pyzo
Ecere SDK
SheetRender
PDFMonkey
Documint
Portant Workflow
Docupilot
DocsAutomator
SheetRender turns a spreadsheet into a stack of separate, print-ready PDFs, one document per row, rather than the single long merged file that Word and Google Docs mail merge produce.
What makes it different is how the template gets made. Most document generation tools ask you to rebuild your document as a template full of merge tags before you can generate anything. SheetRender skips that step. You upload one finished example of the document you want, such as a certificate, invoice, quote, or offer letter, and it studies the layout and builds a matching template from it. A PDF, a web page, or even a screenshot works. You review the result, adjust it with plain-language edits, and generate.
Data comes from a CSV or XLSX upload, or from a Google Sheets snapshot. Output is print-ready A4, Letter and Legal, with real page breaks and print margins. Runs can be scheduled so the latest rows are pulled, rendered and delivered on a cadence without redoing the work each month, and each finished document can be emailed to an address taken from a column in the sheet.
Typical users are non-technical spreadsheet owners in HR, training and operations who need one document per person: training certificates for a whole cohort, offer letters, invoices and quotes from a billing sheet, or personalized reports.
There is a free plan, and no credit card is required to start.
iPython SheetRenderSheetRender's answer:
Every other mail merge tool starts by asking you to rebuild your document as a template full of merge tags. SheetRender starts from the finished document instead. You show it one example, a certificate or invoice or offer letter you already have, and it works out the layout and builds the template for you.
The other half is the output. Every row in your spreadsheet comes out as its own separate PDF file, correctly named, rather than one long document you then have to split by hand.
SheetRender's answer:
Two reasons, and they are narrow ones. If you already have a document you like, you can skip template building entirely, which is the step where most people give up on tools like Autocrat or Form Publisher. And if what you need is one file per person rather than one merged document, that is the default here instead of a workaround.
If you are comfortable building templates with merge tags, or you want a PDF generation API to call from your own code, something like PDFMonkey or CraftMyPDF is a better fit. SheetRender is aimed at the person who has a spreadsheet and a deadline, not at a developer.
SheetRender's answer:
Non-technical people who own a spreadsheet and need one document per row. In practice that is HR and operations staff sending offer letters, trainers and course administrators issuing certificates to a whole cohort, and small business owners producing invoices or quotes from a billing sheet.
The common thread is that they are not developers, they already have a document that looks right, and the job is repetitive enough to hurt but not big enough to justify building something custom.
SheetRender's answer:
It came from watching people hit the same wall. Someone in HR or training would have a perfect certificate or offer letter in front of them, and a spreadsheet of names, and the tool they were told to use would ask them to rebuild that document from scratch as a template with merge fields in it. Plenty of them stopped there and did it by hand, one at a time.
The question was whether the template step could be removed rather than made easier. If the finished example already contains the layout, software should be able to read it. That turned out to be the interesting problem, and the product grew around it.
Based on our record, iPython seems to be more popular. It has been mentiond 20 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโฆ. - Source: dev.to / 11 months ago
As alluded to in Poetry2Nix Development Flake with Matplotlib GTK Support, Iโm currently in the process of getting my โnewโ python workflow up to speed. My second problem, after dependency and environment management, was that fancy REPLs like ipython or ptpython donโt jazz well with the standard comint based inferior python repl that comes with python-mode. One can basically only run ipython with the... - Source: dev.to / over 2 years ago
Third, if possible use a command line interpreter to test things out. I recommend ipython for this purpose. You can use your browser's developer console this way if you are learning Javascript. Source: over 3 years ago
IJulia is an interactive notebook environment powered by the Julia programming language. Its backend is integrated with that of the Jupyter environment. The interface is web-based, similar to the iPython notebook. It is open-source and cross-platform. - Source: dev.to / over 3 years ago
Also, take a look at installing iPthon to give you a much richer shell environment. This underpins Jupyter Notebooks, so is well known, proven and trusted. Source: over 3 years ago
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
PDFMonkey - Automate your PDF generation.
PyCharm - Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...
Documint - Automated PDF generation
Spyder - The Scientific Python Development Environment
Portant Workflow - Delete copy and paste from your life.