falcon | open source ultra low-latency FIX engine

 by   penberg Java Version: Current License: Non-SPDX

kandi X-RAY | falcon Summary

kandi X-RAY | falcon Summary

falcon is a Java library. falcon has no bugs, it has no vulnerabilities, it has build file available and it has high support. However falcon has a Non-SPDX License. You can download it from GitHub.

Falcon is a high performance, low latency FIX engine for the JVM. It provides an API that enables FIX connectivity for both buy side and sell side applications such as trading systems and order management systems. The engine is designed to avoid heap allocations on the TX and RX paths to avoid GC pauses that are disastrous for low-latency applications. The engine is packed with other optimizations such as avoiding querying the system clock for every message and open-coding formatting and parsing functions where the JRE allocates memory implicitly. Falcon is able to achieve 8 µs RTT on when running the latency tester client and server on the same machine.
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            kandi-support Support

              falcon has a highly active ecosystem.
              It has 137 star(s) with 44 fork(s). There are 24 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 4 open issues and 2 have been closed. There are 1 open pull requests and 0 closed requests.
              It has a positive sentiment in the developer community.
              The latest version of falcon is current.

            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 has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              falcon releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              falcon saves you 303 person hours of effort in developing the same functionality from scratch.
              It has 731 lines of code, 45 functions and 20 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            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.
            • Receive a message
            • Matches a message type
            • Parses a delimited string
            • Parse an int from the buffer
            • Send message
            • Format the check sum
            • Format string
            • Writes an integer to the buffer
            • Update the timestamp
            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

            QUESTION

            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:

            ...

            ANSWER

            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

            QUESTION

            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:

            ...

            ANSWER

            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

            QUESTION

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

            Background
            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 -

            ...

            ANSWER

            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

            QUESTION

            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):

            ...

            ANSWER

            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

            QUESTION

            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.., …}
                ] 
            
            ...

            ANSWER

            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

            QUESTION

            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.

            ...

            ANSWER

            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

            QUESTION

            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,

            ...

            ANSWER

            Answered 2021-Nov-25 at 14:44

            QUESTION

            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:

            ...

            ANSWER

            Answered 2021-Nov-24 at 20:43

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

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

            QUESTION

            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:

            ...

            ANSWER

            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

            QUESTION

            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.

            ...

            ANSWER

            Answered 2021-Nov-09 at 18:18

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

            Vulnerabilities

            No vulnerabilities reported

            Install falcon

            You can download it from GitHub.
            You can use falcon like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the falcon component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            https://github.com/penberg/falcon.git

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            gh repo clone penberg/falcon

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            git@github.com:penberg/falcon.git

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