falcon | Free , open-source SQL client for Windows and Mac 🦅 | Data Visualization library

 by   plotly JavaScript Version: v4.1.0 License: MIT

kandi X-RAY | falcon Summary

kandi X-RAY | falcon Summary

falcon is a JavaScript library typically used in Analytics, Data Visualization applications. falcon has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

Falcon is a free, open-source SQL editor with inline data visualization. It currently supports connecting to RedShift, MySQL, PostgreSQL, IBM DB2, Impala, MS SQL, Oracle, SQLite and more (for connecting to Oracle, please, see here the instructions to install the required free Oracle Instant Client). Heads up! Falcon is open source and works without an internet connection or a Plotly Chart Studio account. The software works well and we hope you find it useful. FYI, as a company we are spending most of our development effort on Dash Open Source & Dash Enterprise. Truth be told, we found that most companies we worked with preferred to own the analytical backend. With Dash, we provide the visualization and application primitives so that you can build your own tailor-made dashboards, analytical apps, or yes, even, SQL editors. If you are wondering what we're up to lately, check out our latest post on our Dash vision: Dash is bringing React to Python, R, and Julia. Visit plot.ly to learn more or visit the Plotly forum. Follow @plotlygraphs on Twitter for Falcon announcements. Download Falcon for Mac OS. Download Falcon for Windows. Download Falcon for Linux.

            kandi-support Support

              falcon has a medium active ecosystem.
              It has 5069 star(s) with 276 fork(s). There are 108 watchers for this library.
              It had no major release in the last 12 months.
              There are 114 open issues and 177 have been closed. On average issues are closed in 60 days. There are 36 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of falcon is v4.1.0

            kandi-Quality Quality

              falcon has 0 bugs and 0 code smells.

            kandi-Security Security

              falcon has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              falcon code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              falcon is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              falcon releases are available to install and integrate.

            Top functions reviewed by kandi - BETA

            kandi has reviewed falcon and discovered the below as its top functions. This is intended to give you an instant insight into falcon implemented functionality, and help decide if they suit your requirements.
            • Parse an Elasticsearch query response from an input .
            • Sets up the templates for the page .
            • Merge state of selected state
            • Updates the grid of a given column names
            • Derives the settings from the given setting .
            • Set the authentication authorization page
            • Connects to the CSV file
            • Delete a tab from the current tab
            • Parses an SQL string
            • Returns a promise that resolves once the query is completed .
            Get all kandi verified functions for this library.

            falcon Key Features

            No Key Features are available at this moment for falcon.

            falcon Examples and Code Snippets

            No Code Snippets are available at this moment for falcon.

            Community Discussions


            Formatting Phone number with +1 with pandas.Series.replace
            Asked 2022-Mar-17 at 17:47

            I can't find a solution online and I know this should be easy but I can't figure out what is wrong with my regex:

            here is my code:



            Answered 2022-Mar-17 at 17:34

            You can use .str.extract, convert each row of results to a list, and then use .str.join (and of course concatenate a + at the beginning):

            Source https://stackoverflow.com/questions/71516642


            Why does np.select not allow me to put in index above total length into choicelist?
            Asked 2022-Mar-15 at 23:36

            I am trying to get the first value of the the list in each row of df['Emails'] but in real life (this is a sample df) I don't know what the length of the list will be so I am just assuming that the longest will be length of 5 and then trying to whittle it down until I find the right length and selecting that index position but I am getting IndexError: index 5 is out of bounds for axis 0 with size 2 and I can't figure out what to do about it. Any help appreciated. Thanks.

            my current code:



            Answered 2022-Mar-15 at 23:36

            Whenever you have a column containing lists, explode will often be your friend, and this is the case here.

            Use explode, groupby(level=0) (to group on the 0th (first) level of the index), and first (which selects the first non-null value (including None, NaN, etc.))

            Source https://stackoverflow.com/questions/71489937


            Mapping complex JSON to Pandas Dataframe
            Asked 2022-Feb-25 at 13:57

            I have a complex nested JSON object, which I am trying to unpack into a pandas df in a very specific way.

            JSON Object
            this is an extract, containing randomized data of the JSON object, which shows examples of the hierarchy (inc. children) for 1x family (i.e. 'Falconer Family'), however there is 100s of them in total and this extract just has 1x family, however the full JSON object has multiple -



            Answered 2022-Feb-16 at 06:41

            I think this gets you pretty close; might just need to adjust the various name columns and drop the extra data (I kept the grouping column).

            The main idea is to recursively use pd.json_normalize with pd.concat for all availalable children levels.

            EDIT: Put everything into a single function and added section to collapse the name columns like the expected output.

            Source https://stackoverflow.com/questions/71104848


            Using a list of models to make predictions over a list of results using lapply in R
            Asked 2022-Feb-16 at 01:07

            I have a large list of models that I built using lapply with the following code (these lists are too long to show the whole data but I used the corresponding code to set the models up):



            Answered 2022-Feb-16 at 01:07

            You need an iterator to move through both the models and the new data. Instead of moving through the models, make it an iterator.

            Source https://stackoverflow.com/questions/71133169


            How can I destructure my array of multiple objects
            Asked 2022-Jan-21 at 04:53
                0: {_id: '61de38eb6ea1563609e1d0a7', title: 'FALCON SR SUNTOUR', price: '59', description: ' Alloy.., …}
                1: {_id: '61d7a8b885c68311be8dd1b3', title: 'Lifelong LLBC2702 Falcon', price: '59', description: 'Low Maintenance: High.., …}


            Answered 2022-Jan-21 at 04:38

            You cannot call map on each order item as it is an object. To iterate over them use Object.entries method.

            Try like below

            Source https://stackoverflow.com/questions/70786357


            How to group rows in pandas without groupby?
            Asked 2021-Dec-24 at 23:03

            I have the following Pandas DataFrame and I am trying to group animals according to their class. I know I can use groupby to get a faster result. However, I was thinking if there was a way to replicate the groupby function by iterating over the rows.



            Answered 2021-Dec-24 at 20:33

            You don't really need a loop for any of this. First get a list of the unique elements:

            Source https://stackoverflow.com/questions/70476324


            Can I get the value of the grouped column in groupby apply?
            Asked 2021-Nov-25 at 20:28

            Can I get the value of grouped column in apply in pandas groupby? For example,



            Answered 2021-Nov-25 at 14:44


            Need To Perform a Merge in Pandas Exactly Like VLOOKUP
            Asked 2021-Nov-25 at 17:10

            I have a spreadsheet of fantasy players and their individual game stats. What I would like to add is a column that lists the Vegas Line of that individual game.

            I'm merging from the below spreadsheet:



            Answered 2021-Nov-24 at 20:43

            Try changing x.lstrip('at') to x.lstrip('at ')

            Source https://stackoverflow.com/questions/70100487


            R: split-apply-combine for geographic distance
            Asked 2021-Nov-17 at 17:53

            I have downloaded a list of all the towns and cities etc in the US from the census bureau. Here is a random sample:



            Answered 2021-Nov-12 at 22:48

            I have such a solution. And I'm surprised myself that I used two loops for!! Incredibly, I did it. First things first.

            My proposal is based on a simplification. However, the mistake you will make at short distances will be relatively small. But the time gain is huge!

            Well, I propose to count the distance in Cartesian coordinates, not spherical.

            So we're going to need a simple function that computes the Cartesian coordinates based on the two arguments latitude and longitude. Here is our LatLong2Cart feature.

            Source https://stackoverflow.com/questions/69915845


            How to add a percentage computation in pandas result
            Asked 2021-Nov-11 at 12:00

            I have the following working code. I need to add a percentage column to monitor changes. I dont know much on how to do it in pandas. I need ideas on what part needs to be modified.



            Answered 2021-Nov-09 at 18:18

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install falcon

            You can download it from GitHub.


            If you want to read more about connecting Falcon to your data warehouse, help.plot.ly is free and available online. You can also contribute to this documentation through GitHub.
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