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Top 23 Convert Open-Source Projects
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jc
CLI tool and python library that converts the output of popular command-line tools, file-types, and common strings to JSON, YAML, or Dictionaries. This allows piping of output to tools like jq and simplifying automation scripts.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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tensorflow-lite-YOLOv3
YOLOv3: convert .weights to .tflite format for tensorflow lite. Convert .weights to .pb format for tensorflow serving
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FileToCArray
Coverts any file to a C style array. (It can also do image color format and size coversion)
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SaaSHub
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To tie all this together, we made an org profile for our GitHub organization page. There are some great examples of these, like Microsoft and PayPal. For Fastly's, we wanted something friendly and human so we used Imagemagick to create a montage of all the avatars of the Fastly team members who have contributed to the open source projects in our org:
Project mention: Xonsh: Python-powered, cross-platform, Unix-gazing shell | news.ycombinator.com | 2024-02-14https://github.com/kellyjonbrazil/jc - "CLI tool and python library that converts the output of popular command-line tools, file-types, and common strings to JSON, YAML, or Dictionaries. This allows piping of output to tools like jq and simplifying automation scripts."
The easiest way to transform the downloaded TensorFlow model to an ONNX model is to use the tool tf2onnx from https://github.com/onnx/tensorflow-onnx
For anyone looking for such a script, there's some CLIs that make it easy. One is `yq -o props` [1], another way is to use `yq -j` or `yj` [2] to convert to JSON and pipe it to `gron` [3].
[1] https://github.com/mikefarah/yq
[2] https://github.com/sclevine/yj
[3] https://github.com/tomnomnom/gron
Reading the documentations from Mathworks and from canmatrix which both copy the CANDB++ functionality I understood the following key point:
I use Notion to take toggle in-context notes that I then export, convert into anki Flashcards using 2anki.net, then I have completely organized Anki flashcard decks by subject all filed into the class they're for, without retyping my notes and while retaining the in context note flow in Notion.
yzen.dev/plain-to-class: Class-transformer to transform your data into a typed object
The closest I've seen is termsvg which records your terminal and saves to an animated svg.
https://github.com/mrmarble/termsvg
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- You want to convert your R data to parquet files ? Use parquetize package !
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Index
What are some of the best open-source Convert projects? This list will help you:
Project | Stars | |
---|---|---|
1 | ImageMagick | 11,083 |
2 | jc | 7,558 |
3 | Magick.NET | 3,252 |
4 | tensorflow-onnx | 2,214 |
5 | Online3DViewer | 2,174 |
6 | pdf2image | 1,456 |
7 | yj | 918 |
8 | canmatrix | 871 |
9 | flacon | 405 |
10 | cashify | 400 |
11 | Korkut | 364 |
12 | c4go | 355 |
13 | 2anki.net | 295 |
14 | namDHC | 246 |
15 | plain-to-class | 166 |
16 | termsvg | 161 |
17 | tensorflow-lite-YOLOv3 | 107 |
18 | bafi | 94 |
19 | go-str2duration | 93 |
20 | FileToCArray | 90 |
21 | color-tools | 86 |
22 | persian | 81 |
23 | tablemark | 75 |
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