Data Explorer by OSS Insight
What is Data Explorer by OSS Insight?
Data Explorer by OSS Insight is a GPT-powered querying tool for GitHub live data exploration. Simply ask your question in natural language, and Data Explore will generate SQL, query the data, and present the results visually.
How to use Data Explorer by OSS Insight?
To use Data Explorer, simply input your question or query in natural language. The tool will then generate the corresponding SQL query and retrieve the data from GitHub. The results will be displayed in a visual format for easy understanding and analysis.
Data Explorer by OSS Insight's Core Features
GPT-powered querying tool
GitHub live data exploration
Natural language query
SQL generation
Data visualization
Data Explorer by OSS Insight's Use Cases
Data Explorer can be used for various purposes such as analyzing developer activity, tracking repository trends, monitoring events like pull requests and issues, and gaining insights into the GitHub community.
FAQ from Data Explorer by OSS Insight
What is OSS Insight?
How does Data Explorer generate SQL queries?
Can I customize the visual presentation of the results?
Is Data Explorer compatible with other databases?
Data Explorer by OSS Insight Support Email & Customer service contact & Refund contact etc.
Here is the Data Explorer by OSS Insight support email for customer service: ossinsight@pingcap.com .
Data Explorer by OSS Insight Company
Data Explorer by OSS Insight Company name: PingCAP .
Data Explorer by OSS Insight Company address: 440 N Wolfe Rd Sunnyvale, CA 94085 USA.
More about Data Explorer by OSS Insight, Please visit the about us page(https://ossinsight.io/docs/about).
Data Explorer by OSS Insight Twitter
Data Explorer by OSS Insight Twitter Link: https://twitter.com/OSSInsight
Data Explorer by OSS Insight Github
Data Explorer by OSS Insight Github Link: https://github.com/pingcap/ossinsight
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Social Listening
Turn Data into Insights in Just 10 Mins with GPTs & APIs
This 10-min video shows the step-by-step process of how we unlocked custom GPTs and API integrations to harness our data analytics tools and generating in-depth insights. See how we built a real-world GPT app - you can too. #GPTs #API #AppDevelopment #Developers #ChatGPT #AI #NoCode Here's what you'll get: 00:00 Introduction 01:43 Create and configure GPTs 03:50 Integrate GPTs with OSSInsight Charting API & GitHub REST API 06:47 Integrate GPTs with DataAPI: Turn Data to HTTP APIs with a few configurations 08:55 Get in-depth data insights from this no-code data app 10:24 Wrap up Bonus: For an in-depth walkthrough, check our blog! Free cheat sheets pack included! 👉 http://bit.ly/48nJ1hL APIs: In this video, we used a combination of public and private APIs to level up the data integration and analysis: 1. Public APIs: - GitHub API: api.github.com. - OSSInsight Chart API: OSSInsight.io analyzes 6+ billion rows of GitHub data to provide open-source insights. We used its 'Embed Real-time Widget' for star history charts (next.ossinsight.io). 2. Private API - TiDB Serverless: Our database choice, featuring a 'Data Service' that easily turn your data to HTTP API with SQLs only, making data expose more efficient. 👉 TiDB Serverless Data Service What's next: - Like and subscribe for our upcoming AI demos and data adventures! - Share this video with your fellow data enthusiasts! - Leave a comment below and tell us what you want to see next!
A simple comparison using SDXL model by Automatic1111 and ComfyUI-Before you start
Recently, the Stability AI team unveiled SDXL 1.0, an open model representing the next step in the evolution of text-to-image generation models. It's fully compatible with Automatic1111 and works seamlessly on ComfyUI as well. Currently, ComfyUI has become the second most popular app in the Stable Diffusion Ecosystem. However, there are few videos discussing the differences between these two applications. Here, we conducted tests on both systems to provide you with a clear and simple understanding of each. This way, you can gain more insights into these systems before delving into text-to-image generation. The ComfyUI system allows easy modification of settings, eliminating the need to download any extra models like LoRA or ControlNet. You can effortlessly use these models in both systems. While WebUI offers a straightforward way to use the SDXL model, it can be a bit slow, especially with older graphic cards. On the other hand, ComfyUI can generate images at a much faster pace. However, for beginners, it might be slightly more challenging to handle. Fortunately, you can use the PNG file containing almost all the necessary information to generate the image, significantly accelerating the learning process. Both applications excel at producing stunning and realistic images. Using only a few keywords, the generated image quality is truly astonishing. SDXL is a game-changer in the field of text-to-image generation. The EXCEL result is taken using set COMMANDLINE_ARGS=--xformers --no-half-vae in the webui-user.bat command line. When I add --medvram to this command line, it become set COMMANDLINE_ARGS=--xformers --medvram --no-half-vae The image generation speed increased dramatically. Thanks for Mr. Enricii comment. He pointed out it may help. In fact, it is really a lifesaver. I will make a corrected version soon. 📚 RESOURCES from the Internet Stability AI news https://stability.ai/blog/stable-diffusion-sdxl-1-announcement SDXL 1.0 base model on Huggingface https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/tree/main SDXL 1.0 refiner model on Huggingface https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-1.0/tree/main SDXL knowhow-workflow of the best way to test this model, a game changer https://youtu.be/dwGmJzOHa8Y ComfyUI on GitHub https://github.com/comfyanonymous/ComfyUI 7-zip open source compress software https://www.7-zip.org/ OSS Insight (Open Source Software Insight) https://ossinsight.io/collections/stable-diffusion-ecosystem/ ComfyUI workflow file https://drive.google.com/file/d/1hrnv842kJR4aebQuzPA7-LboutJ5PKb4/view?usp=sharing Subscribe to my channel https://youtube.com/@tubeunderdeveloped Now you can download more than 120 unique models for free https://www.thingiverse.com/zhwang168/designs Twitter https://twitter.com/play4fun168 Facebook http://facebook.com/zhwang168 #TubeUnderdeveloped #Howto #3dPrinting #AICorner
How to Use Stable Diffusion ComfyUI-from Zero to Hero
Following the official release of the SDXL 1.0 model by the Stability AI team, one of the most eagerly anticipated additions was the integration of the ControlNet function. This significant enhancement became a reality with the introduction of the ControlNet Canny function. This milestone now allows us to fully unlock the potential of SDXL through the seamless amalgamation of ControlNet. This amalgamation is poised to surpass even the esteemed MidJournal, in any given scenario. Stable diffusion ComfyUI support stable diffusion in all case, including old 1.5 and 2.0 models, along with the SDXL models. Also, it supports the ControlNet function very well. Even though the whole ControlNet models have not yet been fully published, the preprocessors have already been prepared. However, usage of the ComfyUI is not as easy as Stable diffusion webui Automatic1111. This tutorial video tries to establish an essential fundamental background to understand the ComfyUI police and knowledge. After easy training, even a beginner can easily handle the complex ComfyUI workflow and understand the insight of the ComfyUI. All of us can generate stunning pictures as you desire. If this content helps you a little. Please subscribe to my channel. All original creations should have a good reply. CTRL+drag mouse area selection Shift+move mouse move selection together mouse middle scroll enlarge or shrink the whole workflow press left mouse and move, move whole workflow right click mouse, add node above the node, right click to shortcut option it will show different content depending on the main target CTRL+C copy the content CTRL+V paste the content CTRL+Shift+V paste the content with the link Double click mouse bring to search option CTRL+M mute the node, not run ComfyUI main homepage https://github.com/comfyanonymous/ComfyUI ComfyUI Manager https://github.com/ltdrdata/ComfyUI-Manager.git ComfyUI WAS extension (recommend install from ComfyUI manager) https://github.com/WASasquatch/was-node-suite-comfyui ControlNet preprocessors (install from ComfyUI manager) Use ComfyUI Manager install (about 10G) Put your all AI project in one file-small trick increase the efficiency https://youtu.be/45tQ7OftAf8 I upload the workflow to Google Cloud: https://drive.google.com/drive/folders/1dH7L4BNgLqIljRyuMkEjK7Hy4HDcNp_G?usp=sharing A simple comparison using SDXL model by Automatic1111 and ComfyUI-Before you start https://youtu.be/GXA_FUnCEJk SDXL 1.0 Model with ControlNet Workflow - Official Canny Support https://youtu.be/p3Q78HXAeUY Stability AI news https://stability.ai/blog/stable-diffusion-sdxl-1-announcement OSS Insight (Open Source Software Insight) https://ossinsight.io/collections/stable-diffusion-ecosystem/ Subscribe to my channel https://youtube.com/@tubeunderdeveloped Now you can download more than 120 unique models for free https://www.thingiverse.com/zhwang168/designs Twitter https://twitter.com/play4fun168 Facebook http://facebook.com/zhwang168 #TubeUnderdeveloped #Howto #3dPrinting #AICorner
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