diff --git a/examples/aishell/asr1/READEME.md b/examples/aishell/asr1/READEME.md
index e9fd3017ca090cc271719e71e06a88ad7509f939..2eea233da021b90de3b96c7089c80c23228279bb 100644
--- a/examples/aishell/asr1/READEME.md
+++ b/examples/aishell/asr1/READEME.md
@@ -339,6 +339,3 @@ You need to prepare an audio file, please confirm the sample rate of the audio i
 ```bash
 CUDA_VISIBLE_DEVICES= ./local/test_hub.sh conf/transformer.yaml exp/transformer/checkpoints/avg_20 data/test_audio.wav
 ```
-
-
-
diff --git a/paddlespeech/s2t/exps/u2/model.py b/paddlespeech/s2t/exps/u2/model.py
index b6dbcf443e94d752615295c20c7aae2a95525896..d448021cb1bc3d58d76d29f5c703bedf113a8713 100644
--- a/paddlespeech/s2t/exps/u2/model.py
+++ b/paddlespeech/s2t/exps/u2/model.py
@@ -128,8 +128,9 @@ class U2Trainer(Trainer):
             if dist.get_rank() == 0 and self.visualizer:
                 losses_np_v = losses_np.copy()
                 losses_np_v.update({"lr": self.lr_scheduler()})
-                self.visualizer.add_scalars("step", losses_np_v,
-                                            self.iteration - 1)
+                for key, val in losses_np_v.items():
+                    self.visualizer.add_scalar(
+                        tag='train/' + key, value=val, step=self.iteration - 1)
 
     @paddle.no_grad()
     def valid(self):
@@ -237,9 +238,10 @@ class U2Trainer(Trainer):
             logger.info(
                 'Epoch {} Val info val_loss {}'.format(self.epoch, cv_loss))
             if self.visualizer:
-                self.visualizer.add_scalars(
-                    'epoch', {'cv_loss': cv_loss,
-                              'lr': self.lr_scheduler()}, self.epoch)
+                self.visualizer.add_scalar(
+                    tag='eval/cv_loss', value=cv_loss, step=self.epoch)
+                self.visualizer.add_scalar(
+                    tag='eval/lr', value=self.lr_scheduler(), step=self.epoch)
 
             self.save(tag=self.epoch, infos={'val_loss': cv_loss})
             self.new_epoch()
diff --git a/paddlespeech/s2t/exps/u2_kaldi/model.py b/paddlespeech/s2t/exps/u2_kaldi/model.py
index c23b4c24545c2dda21b4b366a8d1e76c3acdf7a6..43e31a60dc127d607b7a644d1ce553832cb909a3 100644
--- a/paddlespeech/s2t/exps/u2_kaldi/model.py
+++ b/paddlespeech/s2t/exps/u2_kaldi/model.py
@@ -131,8 +131,9 @@ class U2Trainer(Trainer):
             if dist.get_rank() == 0 and self.visualizer:
                 losses_np_v = losses_np.copy()
                 losses_np_v.update({"lr": self.lr_scheduler()})
-                self.visualizer.add_scalars("step", losses_np_v,
-                                            self.iteration - 1)
+                for key, val in losses_np_v.items():
+                    self.visualizer.add_scalar(
+                        tag="train/" + key, value=val, step=self.iteration - 1)
 
     @paddle.no_grad()
     def valid(self):
@@ -222,9 +223,11 @@ class U2Trainer(Trainer):
             logger.info(
                 'Epoch {} Val info val_loss {}'.format(self.epoch, cv_loss))
             if self.visualizer:
-                self.visualizer.add_scalars(
-                    'epoch', {'cv_loss': cv_loss,
-                              'lr': self.lr_scheduler()}, self.epoch)
+                self.visualizer.add_scalar(
+                    tag='eval/cv_loss', value=cv_loss, step=self.epoch)
+                self.visualizer.add_scalar(
+                    tag='eval/lr', value=self.lr_scheduler(), step=self.epoch)
+
             self.save(tag=self.epoch, infos={'val_loss': cv_loss})
             self.new_epoch()
 
diff --git a/paddlespeech/s2t/exps/u2_st/model.py b/paddlespeech/s2t/exps/u2_st/model.py
index 034463fea25854c8790aa61310028864ea6dc969..2dbbdcd30180418c523765c68c0869eb31e4d77c 100644
--- a/paddlespeech/s2t/exps/u2_st/model.py
+++ b/paddlespeech/s2t/exps/u2_st/model.py
@@ -138,8 +138,9 @@ class U2STTrainer(Trainer):
             if dist.get_rank() == 0 and self.visualizer:
                 losses_np_v = losses_np.copy()
                 losses_np_v.update({"lr": self.lr_scheduler()})
-                self.visualizer.add_scalars("step", losses_np_v,
-                                            self.iteration - 1)
+                for key, val in losses_np_v.items():
+                    self.visualizer.add_scalar(
+                        tag="train/" + key, value=val, step=self.iteration - 1)
 
     @paddle.no_grad()
     def valid(self):
@@ -235,9 +236,11 @@ class U2STTrainer(Trainer):
             logger.info(
                 'Epoch {} Val info val_loss {}'.format(self.epoch, cv_loss))
             if self.visualizer:
-                self.visualizer.add_scalars(
-                    'epoch', {'cv_loss': cv_loss,
-                              'lr': self.lr_scheduler()}, self.epoch)
+                self.visualizer.add_scalar(
+                    tag='eval/cv_loss', value=cv_loss, step=self.epoch)
+                self.visualizer.add_scalar(
+                    tag='eval/lr', value=self.lr_scheduler(), step=self.epoch)
+
             self.save(tag=self.epoch, infos={'val_loss': cv_loss})
             self.new_epoch()
 
diff --git a/paddlespeech/s2t/frontend/augmentor/impulse_response.py b/paddlespeech/s2t/frontend/augmentor/impulse_response.py
index 6cc9c0d43991cd3f6141916ca5778485ce49dec5..5ba45bb20c2e3816358b34209fa3cb03142b285b 100644
--- a/paddlespeech/s2t/frontend/augmentor/impulse_response.py
+++ b/paddlespeech/s2t/frontend/augmentor/impulse_response.py
@@ -12,9 +12,10 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """Contains the impulse response augmentation model."""
+import jsonlines
+
 from paddlespeech.s2t.frontend.audio import AudioSegment
 from paddlespeech.s2t.frontend.augmentor.base import AugmentorBase
-from paddlespeech.s2t.frontend.utility import read_manifest
 
 
 class ImpulseResponseAugmentor(AugmentorBase):
@@ -28,7 +29,8 @@ class ImpulseResponseAugmentor(AugmentorBase):
 
     def __init__(self, rng, impulse_manifest_path):
         self._rng = rng
-        self._impulse_manifest = read_manifest(impulse_manifest_path)
+        with jsonlines.open(impulse_manifest_path, 'r') as reader:
+            self._impulse_manifest = list(reader)
 
     def __call__(self, x, uttid=None, train=True):
         if not train:
diff --git a/paddlespeech/s2t/frontend/augmentor/noise_perturb.py b/paddlespeech/s2t/frontend/augmentor/noise_perturb.py
index 9d6da1a8f34818546ebc579efb4cb7a49cb559e5..71165dac893a526963b0e870ccbf99cf979aac42 100644
--- a/paddlespeech/s2t/frontend/augmentor/noise_perturb.py
+++ b/paddlespeech/s2t/frontend/augmentor/noise_perturb.py
@@ -12,9 +12,10 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """Contains the noise perturb augmentation model."""
+import jsonlines
+
 from paddlespeech.s2t.frontend.audio import AudioSegment
 from paddlespeech.s2t.frontend.augmentor.base import AugmentorBase
-from paddlespeech.s2t.frontend.utility import read_manifest
 
 
 class NoisePerturbAugmentor(AugmentorBase):
@@ -34,7 +35,8 @@ class NoisePerturbAugmentor(AugmentorBase):
         self._min_snr_dB = min_snr_dB
         self._max_snr_dB = max_snr_dB
         self._rng = rng
-        self._noise_manifest = read_manifest(manifest_path=noise_manifest_path)
+        with jsonlines.open(noise_manifest_path, 'r') as reader:
+            self._noise_manifest = list(reader)
 
     def __call__(self, x, uttid=None, train=True):
         if not train:
diff --git a/paddlespeech/s2t/frontend/normalizer.py b/paddlespeech/s2t/frontend/normalizer.py
index a29cddc387c8c8336a09a6b2792bcd73a72b0908..017851e6344a83932f92e7f20f6fa680b4d650f1 100644
--- a/paddlespeech/s2t/frontend/normalizer.py
+++ b/paddlespeech/s2t/frontend/normalizer.py
@@ -14,6 +14,7 @@
 """Contains feature normalizers."""
 import json
 
+import jsonlines
 import numpy as np
 import paddle
 from paddle.io import DataLoader
@@ -21,7 +22,6 @@ from paddle.io import Dataset
 
 from paddlespeech.s2t.frontend.audio import AudioSegment
 from paddlespeech.s2t.frontend.utility import load_cmvn
-from paddlespeech.s2t.frontend.utility import read_manifest
 from paddlespeech.s2t.utils.log import Log
 
 __all__ = ["FeatureNormalizer"]
@@ -61,7 +61,10 @@ class CollateFunc(object):
 class AudioDataset(Dataset):
     def __init__(self, manifest_path, num_samples=-1, rng=None, random_seed=0):
         self._rng = rng if rng else np.random.RandomState(random_seed)
-        manifest = read_manifest(manifest_path)
+
+        with jsonlines.open(manifest_path, 'r') as reader:
+            manifest = list(reader)
+
         if num_samples == -1:
             sampled_manifest = manifest
         else:
diff --git a/paddlespeech/s2t/frontend/utility.py b/paddlespeech/s2t/frontend/utility.py
index d423a60447b48b6be218afd06a13e6ce355a31ea..175727e170daf6896d34215fab9fb898681bd300 100644
--- a/paddlespeech/s2t/frontend/utility.py
+++ b/paddlespeech/s2t/frontend/utility.py
@@ -98,7 +98,6 @@ def read_manifest(
     Returns:
         List[dict]: Manifest parsing results.
     """
-
     manifest = []
     with jsonlines.open(manifest_path, 'r') as reader:
         for json_data in reader:
diff --git a/paddlespeech/s2t/io/dataloader.py b/paddlespeech/s2t/io/dataloader.py
index 3b5000a280621502a6b20ca2bf71b43789912ab8..b8eb33679dfadfb155ae4be9cce54876fe991666 100644
--- a/paddlespeech/s2t/io/dataloader.py
+++ b/paddlespeech/s2t/io/dataloader.py
@@ -16,10 +16,10 @@ from typing import Dict
 from typing import List
 from typing import Text
 
+import jsonlines
 import numpy as np
 from paddle.io import DataLoader
 
-from paddlespeech.s2t.frontend.utility import read_manifest
 from paddlespeech.s2t.io.batchfy import make_batchset
 from paddlespeech.s2t.io.converter import CustomConverter
 from paddlespeech.s2t.io.dataset import TransformDataset
@@ -91,7 +91,9 @@ class BatchDataLoader():
         self.n_iter_processes = n_iter_processes
 
         # read json data
-        self.data_json = read_manifest(json_file)
+        with jsonlines.open(json_file, 'r') as reader:
+            self.data_json = list(reader)
+
         self.feat_dim, self.vocab_size = feat_dim_and_vocab_size(
             self.data_json, mode='asr')
 
diff --git a/paddlespeech/s2t/io/dataset.py b/paddlespeech/s2t/io/dataset.py
index 61eeb00f1c41b586762035fe1a097b2197a74008..d64d7d3ec16527c7b1f18e0f7c439d14aff3b0ad 100644
--- a/paddlespeech/s2t/io/dataset.py
+++ b/paddlespeech/s2t/io/dataset.py
@@ -15,6 +15,7 @@
 # Modified from wenet(https://github.com/wenet-e2e/wenet)
 from typing import Optional
 
+import jsonlines
 from paddle.io import Dataset
 from yacs.config import CfgNode
 
@@ -184,7 +185,8 @@ class AudioDataset(Dataset):
         """
         assert batch_type in ['static', 'dynamic']
         # read manifest
-        data = read_manifest(data_file)
+        with jsonlines.open(data_file, 'r') as reader:
+            data = list(reader)
         if sort:
             data = sorted(data, key=lambda x: x["feat_shape"][0])
         if raw_wav:
diff --git a/paddlespeech/s2t/io/sampler.py b/paddlespeech/s2t/io/sampler.py
index 0d5a16ce10a25b8234ad3bc6244b2828f350f092..35b57524b5906d53366ebc1c8d4b36322129bba2 100644
--- a/paddlespeech/s2t/io/sampler.py
+++ b/paddlespeech/s2t/io/sampler.py
@@ -51,7 +51,7 @@ def _batch_shuffle(indices, batch_size, epoch, clipped=False):
     """
     rng = np.random.RandomState(epoch)
     shift_len = rng.randint(0, batch_size - 1)
-    batch_indices = list(zip(*[iter(indices[shift_len:])] * batch_size))
+    batch_indices = list(zip(* [iter(indices[shift_len:])] * batch_size))
     rng.shuffle(batch_indices)
     batch_indices = [item for batch in batch_indices for item in batch]
     assert clipped is False
diff --git a/paddlespeech/s2t/training/trainer.py b/paddlespeech/s2t/training/trainer.py
index f5fb2db03be0090d6e99656db0be4836745783a2..f0099f109ba07eb9aacb3e5399471c34606359c6 100644
--- a/paddlespeech/s2t/training/trainer.py
+++ b/paddlespeech/s2t/training/trainer.py
@@ -19,7 +19,7 @@ from pathlib import Path
 
 import paddle
 from paddle import distributed as dist
-from tensorboardX import SummaryWriter
+from visualdl import LogWriter
 
 from paddlespeech.s2t.training.reporter import ObsScope
 from paddlespeech.s2t.training.reporter import report
@@ -309,9 +309,10 @@ class Trainer():
             logger.info(
                 'Epoch {} Val info val_loss {}'.format(self.epoch, cv_loss))
             if self.visualizer:
-                self.visualizer.add_scalars(
-                    'epoch', {'cv_loss': cv_loss,
-                              'lr': self.lr_scheduler()}, self.epoch)
+                self.visualizer.add_scalar(
+                    tag='eval/cv_loss', value=cv_loss, step=self.epoch)
+                self.visualizer.add_scalar(
+                    tag='eval/lr', value=self.lr_scheduler(), step=self.epoch)
 
             # after epoch
             self.save(tag=self.epoch, infos={'val_loss': cv_loss})
@@ -427,7 +428,7 @@ class Trainer():
         unexpected behaviors.
         """
         # visualizer
-        visualizer = SummaryWriter(logdir=str(self.visual_dir))
+        visualizer = LogWriter(logdir=str(self.visual_dir))
         self.visualizer = visualizer
 
     @mp_tools.rank_zero_only
diff --git a/paddlespeech/s2t/utils/socket_server.py b/paddlespeech/s2t/utils/socket_server.py
index 43b56d723c154c35be9b71afad67123bf99c238f..691ea966821dce4923652b68937dd4a4fbb17ede 100644
--- a/paddlespeech/s2t/utils/socket_server.py
+++ b/paddlespeech/s2t/utils/socket_server.py
@@ -21,7 +21,7 @@ import wave
 from time import gmtime
 from time import strftime
 
-from paddlespeech.s2t.frontend.utility import read_manifest
+import jsonlines
 
 __all__ = ["socket_send", "warm_up_test", "AsrTCPServer", "AsrRequestHandler"]
 
@@ -44,7 +44,8 @@ def warm_up_test(audio_process_handler,
                  num_test_cases,
                  random_seed=0):
     """Warming-up test."""
-    manifest = read_manifest(manifest_path)
+    with jsonlines.open(manifest_path) as reader:
+        manifest = list(reader)
     rng = random.Random(random_seed)
     samples = rng.sample(manifest, num_test_cases)
     for idx, sample in enumerate(samples):
diff --git a/paddlespeech/text/speechtask/punctuation_restoration/training/trainer.py b/paddlespeech/text/speechtask/punctuation_restoration/training/trainer.py
index d6b6eeb65ea338029b9a58d2dda1d3824f093866..78512796be0de321c8e2bef865b0bce6af1f226a 100644
--- a/paddlespeech/text/speechtask/punctuation_restoration/training/trainer.py
+++ b/paddlespeech/text/speechtask/punctuation_restoration/training/trainer.py
@@ -34,7 +34,7 @@ from speechtask.punctuation_restoration.model.lstm import RnnLm
 from speechtask.punctuation_restoration.utils import layer_tools
 from speechtask.punctuation_restoration.utils import mp_tools
 from speechtask.punctuation_restoration.utils.checkpoint import Checkpoint
-from tensorboardX import SummaryWriter
+from visualdl import LogWriter
 
 __all__ = ["Trainer", "Tester"]
 
@@ -252,10 +252,10 @@ class Trainer():
             self.logger.info("Epoch {} Val info val_loss {}, F1_score {}".
                              format(self.epoch, total_loss, F1_score))
             if self.visualizer:
-                self.visualizer.add_scalars("epoch", {
-                    "total_loss": total_loss,
-                    "lr": self.lr_scheduler()
-                }, self.epoch)
+                self.visualizer.add_scalar(
+                    tag='eval/cv_loss', value=cv_loss, step=self.epoch)
+                self.visualizer.add_scalar(
+                    tag='eval/lr', value=self.lr_scheduler(), step=self.epoch)
 
             self.save(
                 tag=self.epoch, infos={"val_loss": total_loss,
@@ -341,7 +341,7 @@ class Trainer():
         unexpected behaviors.
         """
         # visualizer
-        visualizer = SummaryWriter(logdir=str(self.output_dir))
+        visualizer = LogWriter(logdir=str(self.output_dir))
         self.visualizer = visualizer
 
     @mp_tools.rank_zero_only
diff --git a/requirements.txt b/requirements.txt
index 99e485f867ea3dfaeee2f7e440d230f8802881b6..2ee60d3f620f803b8c4eebf4747bfee2fba55fa6 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -40,7 +40,6 @@ snakeviz
 soundfile~=0.10
 sox
 soxbindings
-tensorboardX
 textgrid
 timer
 tqdm
diff --git a/utils/build_vocab.py b/utils/build_vocab.py
index 6a90314759a20d8ade3e33995a1afd9bfa770d3c..f832cbbc3f2f4c647545d8a8fe37d0343b8868c6 100755
--- a/utils/build_vocab.py
+++ b/utils/build_vocab.py
@@ -21,9 +21,10 @@ import os
 import tempfile
 from collections import Counter
 
+import jsonlines
+
 from paddlespeech.s2t.frontend.featurizer.text_featurizer import TextFeaturizer
 from paddlespeech.s2t.frontend.utility import BLANK
-from paddlespeech.s2t.frontend.utility import read_manifest
 from paddlespeech.s2t.frontend.utility import SOS
 from paddlespeech.s2t.frontend.utility import SPACE
 from paddlespeech.s2t.frontend.utility import UNK
@@ -59,13 +60,21 @@ args = parser.parse_args()
 
 
 def count_manifest(counter, text_feature, manifest_path):
-    manifest_jsons = read_manifest(manifest_path)
+    manifest_jsons = []
+    with jsonlines.open(manifest_path, 'r') as reader:
+        for json_data in reader:
+            manifest_jsons.append(json_data)
+
     for line_json in manifest_jsons:
         line = text_feature.tokenize(line_json['text'], replace_space=False)
         counter.update(line)
 
 def dump_text_manifest(fileobj, manifest_path, key='text'):
-    manifest_jsons = read_manifest(manifest_path)
+    manifest_jsons = []
+    with jsonlines.open(manifest_path, 'r') as reader:
+        for json_data in reader:
+            manifest_jsons.append(json_data)
+
     for line_json in manifest_jsons:
         fileobj.write(line_json[key] + "\n")
 
diff --git a/utils/dump_manifest.py b/utils/dump_manifest.py
index b5f7b64a44dead5bac2ea66ee5fdab09d9c255b6..58d91755886ad14538cc88afaf609a06b6d3341a 100755
--- a/utils/dump_manifest.py
+++ b/utils/dump_manifest.py
@@ -17,7 +17,7 @@ import argparse
 from pathlib import Path
 from typing import Union
 
-from paddlespeech.s2t.frontend.utility import read_manifest
+import jsonlines
 
 key_whitelist = set(['feat', 'text', 'syllable', 'phone'])
 filename = {
@@ -32,7 +32,10 @@ def dump_manifest(manifest_path, output_dir: Union[str, Path]):
 
     output_dir = Path(output_dir).expanduser()
     manifest_path = Path(manifest_path).expanduser()
-    manifest_jsons = read_manifest(manifest_path)
+
+    with jsonlines.open(str(manifest_path), 'r') as reader:
+        manifest_jsons = list(reader)
+
     first_line = manifest_jsons[0]
     file_map = {}
 
diff --git a/utils/format_data.py b/utils/format_data.py
index 2fa1924a072faa67ad559f68174896846f8cbdf9..6db2a1bbbeb568c4cc0a6c3ef0ab17039247966a 100755
--- a/utils/format_data.py
+++ b/utils/format_data.py
@@ -17,9 +17,10 @@ import argparse
 import functools
 import json
 
+import jsonlines
+
 from paddlespeech.s2t.frontend.featurizer.text_featurizer import TextFeaturizer
 from paddlespeech.s2t.frontend.utility import load_cmvn
-from paddlespeech.s2t.frontend.utility import read_manifest
 from paddlespeech.s2t.io.utility import feat_type
 from paddlespeech.s2t.utils.utility import add_arguments
 from paddlespeech.s2t.utils.utility import print_arguments
@@ -71,7 +72,9 @@ def main():
     # }
     count = 0
     for manifest_path in args.manifest_paths:
-        manifest_jsons = read_manifest(manifest_path)
+        with jsonlines.open(str(manifest_path), 'r') as reader:
+            manifest_jsons = list(reader)
+
         for line_json in manifest_jsons:
             output_json = {
                 "input": [],
diff --git a/utils/format_triplet_data.py b/utils/format_triplet_data.py
index e0b5ece37353dc9cc592d440ce11ba486569bfaf..44ff4527c897a826fdaade9ed8c6276f86add54e 100755
--- a/utils/format_triplet_data.py
+++ b/utils/format_triplet_data.py
@@ -17,9 +17,10 @@ import argparse
 import functools
 import json
 
+import jsonlines
+
 from paddlespeech.s2t.frontend.featurizer.text_featurizer import TextFeaturizer
 from paddlespeech.s2t.frontend.utility import load_cmvn
-from paddlespeech.s2t.frontend.utility import read_manifest
 from paddlespeech.s2t.io.utility import feat_type
 from paddlespeech.s2t.utils.utility import add_arguments
 from paddlespeech.s2t.utils.utility import print_arguments
@@ -63,7 +64,8 @@ def main():
 
     count = 0
     for manifest_path in args.manifest_paths:
-        manifest_jsons = read_manifest(manifest_path)
+        with jsonlines.open(str(manifest_path), 'r') as reader:
+            manifest_jsons = list(reader)
         for line_json in manifest_jsons:
             # text: translation text, text1: transcript text.
             # Currently only support joint-vocab, will add separate vocabs setting.
diff --git a/utils/manifest_key_value.py b/utils/manifest_key_value.py
index b409236fc05e8661e136c76d4b780becbf0ee19d..fb3d3aaaf47948428cd5eaf4a9ae6b0fe82b93e1 100755
--- a/utils/manifest_key_value.py
+++ b/utils/manifest_key_value.py
@@ -4,9 +4,10 @@ import argparse
 import functools
 from pathlib import Path
 
+import jsonlines
+
 from utils.utility import add_arguments
 from utils.utility import print_arguments
-from utils.utility import read_manifest
 
 
 def main(args):
@@ -19,7 +20,8 @@ def main(args):
     dur_scp = outdir / 'duration'
     text_scp = outdir / 'text'
 
-    manifest_jsons = read_manifest(args.manifest_path)
+    with jsonlines.open(args.manifest_path, 'r') as reader:
+        manifest_jsons = list(reader)
 
     with wav_scp.open('w') as fwav, dur_scp.open('w') as fdur, text_scp.open(
             'w') as ftxt:
diff --git a/utils/utility.py b/utils/utility.py
index b4db518a414de78fcc1c95dc0b9ab63d0a3c1733..dbf8b1d7fe24cc8595dfbd6858125b2213987c88 100755
--- a/utils/utility.py
+++ b/utils/utility.py
@@ -12,7 +12,6 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 import hashlib
-import json
 import os
 import sys
 import tarfile
@@ -22,31 +21,10 @@ from typing import Text
 __all__ = [
     "check_md5sum", "getfile_insensitive", "download_multi", "download",
     "unpack", "unzip", "md5file", "print_arguments", "add_arguments",
-    "read_manifest", "get_commandline_args"
+    "get_commandline_args"
 ]
 
 
-def read_manifest(manifest_path):
-    """Load and parse manifest file.
-    Args:
-        manifest_path ([type]): Manifest file to load and parse.
-
-    Raises:
-        IOError: If failed to parse the manifest.
-
-    Returns:
-        List[dict]: Manifest parsing results.
-    """
-
-    manifest = []
-    for json_line in open(manifest_path, 'r'):
-        try:
-            json_data = json.loads(json_line)
-        except Exception as e:
-            raise IOError("Error reading manifest: %s" % str(e))
-    return manifest
-
-
 def get_commandline_args():
     extra_chars = [
         " ",