railsutra 0.3.0

Your gateway to real-time Indian Railways data powered by NTES.

RailSutra

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Railsutra is a lightweight Python package that provides Indian Railways information using pandas. It fetches data from the National Train Enquiry System (NTES) which allows you to make necessary railway related queries easily.

Features

• Get trains running between two stations directly as Pandas DataFrame.
• Flexible station matching when searching for trains.
• Fully compatible with pandas for easy data analysis.

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Installation

Install via pip:

pip install railsutra

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Functions

1. get_stn_name(stn_code: str) -> str

Get the full station name for a given station code.

from railsutra import *
station = get_stn_name(stn_code='LKO') # lower-case allowed
print(station)

LUCKNOW JN.

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2. get_trains_btw_stns(from_stn: str, to_stn: str, flex_stn:bool = False) -> pandas.DataFrame

Fetch all trains running between two stations. Returns a pandas DataFrame with train details.

• from_stn : From station code.
• to_stn : To station code.
• flex_stn (optional) : Set True to allow flexible station matching.

from railsutra import *

dtf = get_trains_btw_stns('GKP','LJN',flex_stn=True)
print(dtf)

  train_no      train_name service_days    train_type src_time   src_station src_code dest_time dest_station dest_code duration             classes
0    12203  GARIB RATH EXP  Mon,Tue,Fri    Garib Rath    00:45  Gorakhpur Jn      GKP     05:55  Lucknow Jn.       LKO    05:10                  3E
1    15114    CPR GTNR EXP        Daily  Mail Express    01:20  Gorakhpur Jn      GKP     06:35  Gomti Nagar      GTNR    05:15  1A,2A,3A,3E,SL,GEN

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3. get_live_stn_status(stn_code: str) -> pandas.DataFrame

Get live arrivals and departures for a station. Returns a Pandas DataFrame showing train number, train name, arrival time, departure time, platform, and delay info (if available).

• stn_code : Station Code.

from railsutra import get_live_stn_status

dtf = get_live_stn_status(stn_code='cnb')
print(dtf.head(3))

  train_no         train_name   src  dest sch_arr exp_arr arr_delay sch_dep exp_dep dep_delay pf
0    55346  KSJ-LJN PASSENGER   KSJ   LJN   22:05   22:06         1   22:10   22:10       NaN  9
1    15658    BRAHMAPUTRA EXP   KYQ   DLI   21:30   22:17        47   21:35   22:18        43  2
2    12397      MAHABODHI EXP  GAYA  NDLS   22:05   22:18        13   22:10   22:19         9  2

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4. get_train_name(train_no: str) -> str

Returns the name of the train.

from railsutra import get_train_name

train_name = get_train_name(train_no=13010)
print(train_name)

DOON EXPRESS

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5. get_live_train_status(train_no, date: str, run_df: bool = False) -> list

Fetches and returns the status of the train in dictionary format.

• train_no : 5 digit train number.
• date : Date for which status is required (dd-mm-yyyy).
• run_df : set True if you want a Pandas DataFrame showing the whole running.

1. Getting status of the train.

from railsutra import get_live_train_status

status = get_live_train_status(train_no=12231,date="04-09-2025",run_df=True)
print(status[0]) # for status

Train has reached destination CHANDIGARH (CDG) at 10:13 05-Sep-2025.

2. Whole running DataFrame.

from railsutra import get_live_train_status

status = get_live_train_status(train_no=15031,date="04-09-2025",run_df=True)
print(status[1]) # for whole running DataFrame

        stn_name sch_arr      sch_dep exp_arr_time exp_arr_dt arr_delay exp_dep_time exp_dep_dt dep_delay
0   GORAKHPUR JN  Source        05:45       Source        NaN       NaN        05:45     04 Sep       NaN
1       SAHJANWA   06:08        06:10        06:09     04 Sep         1        06:11     04 Sep         1
2     KHALILABAD   06:25        06:27        06:28     04 Sep         3        06:35     04 Sep         8
3          BASTI   06:48        06:50        07:02     04 Sep        14        07:05     04 Sep        15
4        BABHNAN   07:15        07:17        07:28     04 Sep        13        07:31     04 Sep        14
5    MANKAPUR JN   07:44        07:46        08:00     04 Sep        16        08:02     04 Sep        16
6       GONDA JN   08:20        08:23        08:46     04 Sep        26        08:54     04 Sep        31
7    COLONELGANJ   08:48        08:50        09:23     04 Sep        35        09:25     04 Sep        35
8   BARABANKI JN   10:08        10:10        10:34     04 Sep        26        10:36     04 Sep        26
9   BADSHAHNAGAR   10:44        10:46        11:09     04 Sep        25        11:12     04 Sep        26
10    LUCKNOW NE   11:25  Destination        11:34     04 Sep         9  Destination        NaN       NaN

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6. get_train_schedule(train_no:int) -> pandas.DataFrame

Returns the latest schedule of train.

• train_no : 5 digit train number.

from railsutra import get_train_schedule

schedule = get_train_schedule(train_no=12566)
print(schedule)

          stn_name sch_arr      sch_dep
0        NEW DELHI  Source        12:45
1   KANPUR CENTRAL   18:10        18:15
2         UNNAO JN   18:42        18:43
3         AISHBAGH   20:00        20:10
4     BADSHAHNAGAR   20:30        20:33
5         GONDA JN   22:26        22:28
6     GORAKHPUR JN   00:50        01:00
7     DEORIA SADAR   01:59        02:01
8         SIWAN JN   02:55        03:00
9          CHHAPRA   04:10        04:15
10       SONPUR JN   05:18        05:20
11      HAJIPUR JN   05:32        05:37
12  MUZAFFARPUR JN   06:30        06:35
13   SAMASTIPUR JN   07:48        08:13
14    DARBHANGA JN   09:30  Destination

Notes

• RailSutra uses NTES - National Train Enquiry System data. Schedules and status directly gets updated.
• This package uses Internet Connectivity for fetching data, in absence of which will always return Empty DataFrames.

License

This project is licensed under the MIT License - see the LICENSE file in this distribution for details.