diff --git a/setup.py b/setup.py
index 1058f67..fc8eeef 100644
--- a/setup.py
+++ b/setup.py
@@ -12,7 +12,7 @@ args    = {
     "license":"MIT",
     "packages":["smart","smart.top","smart.folder","smart.logger"]}
 args["keywords"]=['mongodb','couchdb','rabbitmq','file','read','write','s3','sqlite']
-args["install_requires"] = ['pandas','numpy','requests','data-transport@git+https://healthcareio.the-phi.com/git/code/transport.git']
+args["install_requires"] = ['pandas','numpy','requests','git+https://healthcareio.the-phi.com/git/code/transport.git']
 args["url"] =   "https://dev.the-phi.com/git/steve/smart-top.git"
 args['scripts'] = ['bin/smart-top']
 # args['entry_point'] = {'console-scripts':['smart-top=smart-top:main']}
diff --git a/smart/folder/__init__.py b/smart/folder/__init__.py
index a6677f7..caa5903 100644
--- a/smart/folder/__init__.py
+++ b/smart/folder/__init__.py
@@ -17,10 +17,15 @@ class Util :
         value,units =  re.match('^(.+)([A-Z]+$)',stream).groups()
         value = float(value)
         if 'G' == units :
-            value *= 1000
+            units = 'GB'
+        #     value *= 1000
+            
         elif 'K' == units:
-            value /= 1000
-        units = 'MB'
+            units = 'KB'
+        #     value /= 1000
+        else :
+            units = 'MB'
+        # units = 'MB'
         return {"size":value,"units":units}
     def content(self,stream):
         return {"content":stream.split(' ')[0].strip()}
diff --git a/smart/top/__init__.py b/smart/top/__init__.py
index 483e23c..2fe4a1b 100644
--- a/smart/top/__init__.py
+++ b/smart/top/__init__.py
@@ -55,7 +55,7 @@ class Util:
                 m.append(row)
         return m 
     
-           
+          
 def read(**args) :
     """
     This function will perform the actual reads of process informations. 
@@ -127,7 +127,7 @@ def read(**args) :
             logger(data=df)
         df.index = np.arange(df.shape[0])
        
-        return df.to_dict(orient='records')
+        return df #.to_dict(orient='records')
 
     except Exception as e:
         print (e)
diff --git a/smart/top/__main__.py b/smart/top/__main__.py
index 047f507..403ddc1 100644
--- a/smart/top/__main__.py
+++ b/smart/top/__main__.py
@@ -13,7 +13,9 @@ import sys
 import os
 import re
 import time
+import numpy as np
 # df = pd.DataFrame (smart.top.read(name='firefox,code'))
+HOME_FOLDER = os.environ['HOME']
 SYS_ARGS = {}
 if len(sys.argv) > 1:
     
@@ -32,7 +34,7 @@ if len(sys.argv) > 1:
         i += 2
 if __name__ == '__main__' :
     try:
-        if 'help' in SYS_ARGS:
+        if 'help' in SYS_ARGS :
             print (help_me)
             sys.exit(0)
         if 'watch' in SYS_ARGS :
@@ -46,15 +48,34 @@ if __name__ == '__main__' :
             print ("================================= SMART TOP ================================= ")
             print ()
             df = pd.DataFrame()
-            if 'name' in SYS_ARGS :
-                df = df.append(pd.DataFrame(smart.top.read(name=SYS_ARGS['name'])))
+            if 'folder' in SYS_ARGS :
+                for path in SYS_ARGS['folder'].split(',') :
+                    df = df.append(smart.folder.read(path=path))
+                cols = df.columns.tolist()
             else:
-                df = pd.DataFrame(smart.top.read())
+                df =  smart.top.read()
+                cols = ['pid','name','user','cpu','mem','started','date','time','status']
+            
+                
+            
+            
+            
+            
+            for key in SYS_ARGS :
+                value = SYS_ARGS[key]
+                
+                if not value or key not in df.columns:
+                    continue 
+                ii = df.apply(lambda row:re.match(value,str(row[key])) is not None,axis=1)
+                df = df[ii].copy()
+            
+            df.index = np.arange(df.shape[0])
+                
             # df = pd.DataFrame(smart.top.read(name='fire'))    
             
             log = log.append(df)
-            
-            print (df[['pid','name','user','cpu','mem','started','date','time','status']])
+            if not df.empty :
+                print (df[cols])
             if 'watch' in SYS_ARGS :                
                 time.sleep(SYS_ARGS['watch'])